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Paper Citation Record · LEDGER

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories

As of 22 August 2026, this Paper Citation Record lists 100 of 255 outbound references and 0 inbound Pith citation observations for arXiv:2504.16449.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.16449 v2

Coverage vector

measured 100 of 255 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:26.203881Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 255 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved90
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87d5bc77-8ae3-429a-a781-d46455d0a00c · outbound

This paper cites Malicious URL Detection using Machine Learning: A Survey.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious URL Detection using Machine Learning: A Survey

Reference 1

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source=pdf_text observed=2026-08-16T11:05:25.696540Z digest=sha256:dd7ad3777c3d85c822f6af6acf8a13dd079e24424434dbcba2b1a43772b51146

Observation 998bb0e2-07f6-4809-a385-985ba3d5ca37 · outbound

This paper cites Malicious url prediction using machine learning techniques.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url prediction using machine learning techniques

Reference 2

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source=pdf_text observed=2026-08-16T11:05:25.702714Z digest=sha256:fe465124f7d48335038d0710b605d5118a12b092dceb513b6751bc03ab1be0ea

Observation 5d118ccf-fa8c-480a-9cd4-c42b9fe73445 · outbound

This paper cites blacklists.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories blacklists

Reference 3

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source=pdf_text observed=2026-08-16T11:05:25.708201Z digest=sha256:58033b77fe4bc3ddd15d751d5d747d330cd56be0bac3749babe0b799a3ea34ef

Observation 9e5cd765-7d28-4b88-b472-7c21d1c48d8d · outbound

This paper cites Apwg.https://apwg.org/.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Apwg.https://apwg.org/

Reference 4

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source=pdf_text observed=2026-08-16T11:05:25.713634Z digest=sha256:9c3b62d2bf2e2a86c1fa441a069f63dd8a8b2cb030d705bf39d9705e2540fe5d

Observation b63ee006-f286-4c86-8b7d-6f5f8a98c395 · outbound

This paper cites Detecting malicious urls using machine learning techniques: review and research directions.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detecting malicious urls using machine learning techniques: review and research directions

Reference 5

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source=pdf_text observed=2026-08-16T11:05:25.718471Z digest=sha256:f90e14bda2b0cd121190eb87e631d0621dae03e1ef0130152c84eb9b66ed8c99

Observation 255f93a8-0a16-48ca-928c-d79fbe47b9e5 · outbound

This paper cites Detectionofmaliciousurlsusingmachinelearning.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detectionofmaliciousurlsusingmachinelearning

Reference 6

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source=pdf_text observed=2026-08-16T11:05:25.723819Z digest=sha256:8de59994fb4cb1b000903ca9670d5bbd1803a3ee6b3ab5f6c4f4acf448829d4a

Observation 21bbe10f-f2c2-4711-a994-e71c9a488ed5 · outbound

This paper cites Malicious url detection: a survey, in: DEIM Forum F6–3.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url detection: a survey, in: DEIM Forum F6–3

Reference 7

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source=pdf_text observed=2026-08-16T11:05:25.729532Z digest=sha256:a98f0161dc35b2ca859a4d185edf65709af1e91e80ca5af0c098348f0fc9fde1

Observation 1bc2db31-7e6b-440a-bdfe-3991620b4def · outbound

This paper cites An effective detection approach for phishing websites using url and html features.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories An effective detection approach for phishing websites using url and html features

Reference 8

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source=pdf_text observed=2026-08-16T11:05:25.734723Z digest=sha256:2de74b26cc34839552ed038a23607d35876153f5b5e07c1805ab582e2928c87c

Observation 9ccdc2ba-4a6c-4fea-8e97-f2de38e0ba46 · outbound

This paper cites Asurveyofintelligentdetectiondesignsofhtmlurlphishingattacks.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Asurveyofintelligentdetectiondesignsofhtmlurlphishingattacks

Reference 9

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source=pdf_text observed=2026-08-16T11:05:25.739685Z digest=sha256:267655ae733b24ad9782302f255e095d760c8d994c97ec16279fd60e77a84d76

Observation 9940e344-ca8f-43d6-a987-7a35491e7673 · outbound

This paper cites Towards detecting and classifying malicious urls using deep learning.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Towards detecting and classifying malicious urls using deep learning

Reference 10

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source=pdf_text observed=2026-08-16T11:05:25.745505Z digest=sha256:6b3660df0230a74b5d58c198440354182f40620f472b4b3c353aa51480028390

Observation e7016085-27cd-498d-84c5-d5fb79211648 · outbound

This paper cites Detectionandanalysisofdrive-by-downloadattacksandmaliciousjavascriptcode,in:Proceedings of the 19th international conference on World wide web, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detectionandanalysisofdrive-by-downloadattacksandmaliciousjavascriptcode,in:Proceedings of the 19th international conference on World wide web, pp

Reference 11

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source=pdf_text observed=2026-08-16T11:05:25.750775Z digest=sha256:c2ac39eb6fcdd141e410ccf8c4a1ef4f13412057b392cf4d207ada1c621ef336

Observation b01ef19a-f0d6-4993-8915-7c49edd219c9 · outbound

This paper cites Phishing url detection: A real-case scenario through login urls.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishing url detection: A real-case scenario through login urls

Reference 12

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source=pdf_text observed=2026-08-16T11:05:25.755502Z digest=sha256:accd964efe16996a657deda79dcd5c72b6eb1595001931c9d33800ffd9ede665

Observation 5ae81e27-4860-4526-86ff-c087d9c0e483 · outbound

This paper cites Phishing url detection using hybrid ensemble model.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishing url detection using hybrid ensemble model

Reference 13

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source=pdf_text observed=2026-08-16T11:05:25.760081Z digest=sha256:21d80f964fdefffd78690fd73a22c09c80539704daff6869c3b90430f9d4b034

Observation b30e2dac-05fe-4e53-8649-820c3d70490f · outbound

This paper cites Malicious url detection an evaluation of feature extraction and machine learning algorithm.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url detection an evaluation of feature extraction and machine learning algorithm

Reference 14

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source=pdf_text observed=2026-08-16T11:05:25.764501Z digest=sha256:e960a6dd1425238d78c492d059b825295faa8ee4255920518842ad7d49b1615d

Observation c870cf8e-59d7-4bcb-885a-566bf2d75757 · outbound

This paper cites Classification of malicious urls using machine learning.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Classification of malicious urls using machine learning

Reference 15

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source=pdf_text observed=2026-08-16T11:05:25.769590Z digest=sha256:73142e9bbad2dde1c9145c67b4a88ba22d26c50deb372f14d36ac18bc82715a7

Observation d8f84908-9da8-452a-824a-7c507f7dccf0 · outbound

This paper cites A url-based social semantic attacks detection with character-aware language model.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A url-based social semantic attacks detection with character-aware language model

Reference 16

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source=pdf_text observed=2026-08-16T11:05:25.774142Z digest=sha256:72569352934623ce44316114904712d8e2258214d6bda7fee40a5ab08c4b1d99

Observation 064a615a-915f-498c-bb0b-4f80a7bed874 · outbound

This paper cites An assessment of lexical, network, and content-based features for detecting malicious urls using machine learning and deep learning models.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories An assessment of lexical, network, and content-based features for detecting malicious urls using machine learning and deep learning models

Reference 17

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source=pdf_text observed=2026-08-16T11:05:25.778883Z digest=sha256:b0ccff4634a77019a1b0dd6f8941e1980c4ce131b9cbed5db29ad9fcb98ce6dc

Observation e201eb41-8ed3-42c1-9f53-0f3eacff2dcc · outbound

This paper cites An effective cost-sensitive xgboost method for malicious urls detection in imbalanced dataset.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories An effective cost-sensitive xgboost method for malicious urls detection in imbalanced dataset

Reference 18

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source=pdf_text observed=2026-08-16T11:05:25.783799Z digest=sha256:57f4a02e1ed38d8a551df3a165acecda3cfc9b00731e5e18a55b6d6b037463e6

Observation cd98193e-f6cd-4859-8fa9-ea425b01ce34 · outbound

This paper cites Highly predictive blacklisting., in: USENIX security symposium, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Highly predictive blacklisting., in: USENIX security symposium, pp

Reference 19

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source=pdf_text observed=2026-08-16T11:05:25.788836Z digest=sha256:98a4a6850860295456c7428238396479266dd14733a423ab53e252abf67a322a

Observation 2a145c7c-d192-464a-9c39-34855b37b171 · outbound

This paper cites An empirical analysis of phishing blacklists.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories An empirical analysis of phishing blacklists

Reference 20

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source=pdf_text observed=2026-08-16T11:05:25.794147Z digest=sha256:77ad16d86c59233ebb069b6b6f87d5f760410e3b3ee9ca104f5ea7d1ba4ac9ab

Observation fbb420e9-4bf5-42ec-8594-4cd56205e9e3 · outbound

This paper cites Protectsensitivesitesfromphishingattacksusingfeaturesextractablefrominaccessible phishing urls, in: 2013 IEEE international conference on communications (ICC), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Protectsensitivesitesfromphishingattacksusingfeaturesextractablefrominaccessible phishing urls, in: 2013 IEEE international conference on communications (ICC), IEEE

Reference 21

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source=pdf_text observed=2026-08-16T11:05:25.798819Z digest=sha256:55f7e0c2b3eb8d15ec84d5daebcc66f7e6ab72c865dc7b5a7ef62cb3961d30ef

Observation 946d0c66-6deb-48b2-9789-c919c43d84c3 · outbound

This paper cites A novel approach for phishing detection using url-based heuristic, in: 2014 international conference on computing, management and telecommunications (ComManTel), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A novel approach for phishing detection using url-based heuristic, in: 2014 international conference on computing, management and telecommunications (ComManTel), IEEE

Reference 22

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source=pdf_text observed=2026-08-16T11:05:25.803974Z digest=sha256:2cfc13f57c702eca0f7afb7d27981595ec1050fae2fbd6036923f3a34b7f3b06

Observation 994c82c7-f9a1-46ee-87c8-61fc86004b65 · outbound

This paper cites Detecting phishing web sites: A heuristic url-based approach, in: 2013 International Conference on Advanced Technologies for Communications (ATC 2013), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detecting phishing web sites: A heuristic url-based approach, in: 2013 International Conference on Advanced Technologies for Communications (ATC 2013), IEEE

Reference 23

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source=pdf_text observed=2026-08-16T11:05:25.809035Z digest=sha256:855d6659ef27179d5a0704a7badca647de5f29b0b5934ffe275ac16e5aa54984

Observation d729fcc8-c1bd-4423-bbfc-2f572d2c1e5f · outbound

This paper cites Heuristic-based strategy for phishing prediction: A survey of url-based approach.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Heuristic-based strategy for phishing prediction: A survey of url-based approach

Reference 24

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source=pdf_text observed=2026-08-16T11:05:25.815210Z digest=sha256:2b890266bc4f72fbece6ee082add59bf78c78fddb9d9f237d70f1e53bd97d246

Observation 4a81c7b8-4d12-4b41-9e41-7cdcd63fd55c · outbound

This paper cites Detection of phishing urls using heuristics-based approach, in: 2022 5th Information Technology for Education and Development (ITED), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detection of phishing urls using heuristics-based approach, in: 2022 5th Information Technology for Education and Development (ITED), pp

Reference 25

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source=pdf_text observed=2026-08-16T11:05:25.821132Z digest=sha256:bc20f8519a7ee1ad6dbcc849e36f4bb07e5f6ebe9564304b06c63d6d950a66ae

Observation 2caa9908-d9ab-4e65-bbfe-e8897566e3e2 · outbound

This paper cites Using Lexical Features for Malicious URL Detection -- A Machine Learning Approach.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Using Lexical Features for Malicious URL Detection -- A Machine Learning Approach

Reference 26

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local_arxiv, observed 2026-08-16T11:05:30.936151Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:25.826630Z digest=sha256:73aef0021252fc110b75f52cbe25a4290b570ac02b14ae4dfeacedca86d32aad

Observation b9514f71-188a-41d6-b98f-790e85d2facc · outbound

This paper cites Machinelearningbasedphishingdetectionfromurls.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Machinelearningbasedphishingdetectionfromurls

Reference 27

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source=pdf_text observed=2026-08-16T11:05:25.832304Z digest=sha256:2acaf73b2cd631714d106b3d7438dcbd47ec34a3ccd435fe2947e93529b5b12e

Observation f49d4a2b-930f-41f6-ae43-02940a388807 · outbound

This paper cites Svms for the blogosphere: Blog identification and splog detection, in: AAAI spring symposium on computational approaches to analysing weblogs.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Svms for the blogosphere: Blog identification and splog detection, in: AAAI spring symposium on computational approaches to analysing weblogs

Reference 28

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source=pdf_text observed=2026-08-16T11:05:25.837539Z digest=sha256:252b35162a8b3c4352f9668c98da7e538281a141d32bf68a0142688c453bb48a

Observation 5535201d-c7ac-45ec-8d46-d4a6545eb915 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-16T11:05:25.843402Z digest=sha256:609610b145d3a9c91418b7f0cc4198d21eec3fef665e0c30be836481f08f7df4

Observation 0bcf8344-975c-4fbc-b939-5239b1f75516 · outbound

This paper cites Identifyingsuspiciousurls:anapplicationoflarge-scaleonlinelearning,in:Proceedings of the 26th annual international conference on machine learning, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Identifyingsuspiciousurls:anapplicationoflarge-scaleonlinelearning,in:Proceedings of the 26th annual international conference on machine learning, pp

Reference 30

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source=pdf_text observed=2026-08-16T11:05:25.848435Z digest=sha256:b1d6e63f5d78a02f2b96d62dd63dc0f7e6c94754100b03b15c4e3ab8805ff456

Observation bb1e921e-b8d9-46f1-839f-e513244f4254 · outbound

This paper cites Malicious url detection based on kolmogorov complexity estimation, in: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url detection based on kolmogorov complexity estimation, in: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp

Reference 31

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doi, observed 2026-08-16T11:05:27.299206Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:25.853762Z digest=sha256:00bed235de68e8f6fb2a16d12904ea87e1b751ac8c0db9052c0ae5a2452e91fa

Observation 0dba4ad3-dc37-40d4-bc71-2c88bb0ae8de · outbound

This paper cites Phishscore:Hackingphishers’minds,in:10thinternationalconferenceonnetworkand service management (CNSM) and workshop, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishscore:Hackingphishers’minds,in:10thinternationalconferenceonnetworkand service management (CNSM) and workshop, IEEE

Reference 32

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source=pdf_text observed=2026-08-16T11:05:25.858721Z digest=sha256:505f84292afca198373d8c30f7b614a45b48b7f61fbe84fc4f67ce4ddb7f63c4

Observation 6ffcfee9-c0a8-4dfb-ad63-a49441d24855 · outbound

This paper cites Phishstorm:Detectingphishingwithstreaminganalytics.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishstorm:Detectingphishingwithstreaminganalytics

Reference 33

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source=pdf_text observed=2026-08-16T11:05:25.863736Z digest=sha256:32b8a65f5b60c722a243c4a6570673ab12cd67e56cb5eb306bfc2224cae405ec

Observation 3bae7a97-7554-4193-814c-b1b7fb2ca36b · outbound

This paper cites A framework for detection and measurement of phishing attacks, in: Proceedings of the 2007 ACM workshop on Recurring malcode, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A framework for detection and measurement of phishing attacks, in: Proceedings of the 2007 ACM workshop on Recurring malcode, pp

Reference 34

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source=pdf_text observed=2026-08-16T11:05:25.868457Z digest=sha256:8697a8695938cf1889d82417b21ff94234a621a35b8ec1b0a3b4c0c9d088042d

Observation d6ed4d86-4dfc-4471-a146-f4768439335d · outbound

This paper cites Prophiler:afastfilterforthelarge-scaledetectionofmaliciouswebpages,in:Proceedings of the 20th international conference on World wide web, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Prophiler:afastfilterforthelarge-scaledetectionofmaliciouswebpages,in:Proceedings of the 20th international conference on World wide web, pp

Reference 35

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Observation 992a08a8-a94a-4b41-a427-3ef808894ae3 · outbound

This paper cites Judgingasitebyitscontent:learningthetextual,structural,andvisualfeaturesofmaliciousweb pages, in: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Judgingasitebyitscontent:learningthetextual,structural,andvisualfeaturesofmaliciousweb pages, in: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, pp

Reference 36

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Observation 4e03fd17-723c-4d1d-9414-9150b3adae02 · outbound

This paper cites Malicious url detection using logistic regression.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url detection using logistic regression

Reference 37

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Observation f08af654-ca61-4738-872a-fd925219d7c6 · outbound

This paper cites Mutual information based logistic regression for phishing url detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Mutual information based logistic regression for phishing url detection

Reference 38

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Observation 6cd87f7b-f848-4b91-bf1e-8709e584f447 · outbound

This paper cites Learning url embedding for malicious website detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Learning url embedding for malicious website detection

Reference 39

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source=pdf_text observed=2026-08-16T11:05:25.892541Z digest=sha256:ad6380d0bb337e938d8c00974557c6ca073b7226f0e0c4f59bb99dc7407a1cd3

Observation 071e1040-3346-42ea-8d2e-d975ff70307c · outbound

This paper cites Malicious web content detection by machine learning.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious web content detection by machine learning

Reference 40

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Observation 05cf8f0b-e67f-48bf-8d56-78affcc75dd6 · outbound

This paper cites Cross-layer detection of malicious websites, in: Proceedings of the third ACM conference on Data and application security and privacy, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Cross-layer detection of malicious websites, in: Proceedings of the third ACM conference on Data and application security and privacy, pp

Reference 41

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Observation 2d7705a6-45ef-4319-a079-f31130a3771d · outbound

This paper cites Phishari: Automatic realtime phishing detection on twitter, in: 2012 eCrime Researchers Summit, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishari: Automatic realtime phishing detection on twitter, in: 2012 eCrime Researchers Summit, IEEE

Reference 42

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Observation 789d5118-a0bd-4cbc-8bfa-475b5db9ecf8 · outbound

This paper cites Detection of forwarding-based malicious urls in online social networks.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detection of forwarding-based malicious urls in online social networks

Reference 43

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Observation b6fc7695-5ae1-4ec4-873e-c1c80dcb3e44 · outbound

This paper cites Textual and visual content-based anti-phishing: a bayesian approach.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Textual and visual content-based anti-phishing: a bayesian approach

Reference 44

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source=pdf_text observed=2026-08-16T11:05:25.916704Z digest=sha256:97a8c198f6b0c194af47b50ecad7ab55d2c649a0b9260a4eb597f30a53c6ac9d

Observation dc92d6a9-8197-40f7-adf0-b03ab40eee00 · outbound

This paper cites Detect malicious web pages using naive bayesian algorithm to detect cyber threats.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detect malicious web pages using naive bayesian algorithm to detect cyber threats

Reference 45

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Observation 391fd972-1182-4652-8c07-0b7bb56f2ac4 · outbound

This paper cites Classification of malicious urls using naive bayes and genetic algorithm.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Classification of malicious urls using naive bayes and genetic algorithm

Reference 46

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Observation ef51444b-8b91-40ca-902e-b504a11535ed · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-16T11:05:25.931583Z digest=sha256:e7123832ad681b9549e0371a726d5d7da0a71fc5cb9bbfce37836dfdb9afd500

Observation b4584bbe-dd5d-4d2b-b0b6-8ae726b42868 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-16T11:05:25.936250Z digest=sha256:9efd169e9089d907282c3e74f38bbf6090d40008b1c6fc7a73006241834bae07

Observation a6310e3f-4477-46a8-9d2a-2bd13f1b3e41 · outbound

This paper cites Onlinepassive-aggressivealgorithms.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Onlinepassive-aggressivealgorithms

Reference 49

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source=pdf_text observed=2026-08-16T11:05:25.941078Z digest=sha256:b92a0dc2d958820f3596286739be748ad1a0d76d2c16c1d825d74174b69bccae

Observation 77d8a704-0f5c-47f5-99b2-3168254e02a0 · outbound

This paper cites Confidence-weighted linear classification, in: Proceedings of the 25th international conference on Machine learning, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Confidence-weighted linear classification, in: Proceedings of the 25th international conference on Machine learning, pp

Reference 50

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source=pdf_text observed=2026-08-16T11:05:25.946031Z digest=sha256:76896bf43754e5e0986f8008984108380c111cb1083af8a0dff3af1d2f94e988

Observation da9f9e92-e29a-40db-8b1d-722cd6a705ec · outbound

This paper cites Lexical feature based phishing url detection using online learning, in: Proceedings of the 3rd ACM Workshop on Artificial Intelligence and Security, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Lexical feature based phishing url detection using online learning, in: Proceedings of the 3rd ACM Workshop on Artificial Intelligence and Security, pp

Reference 51

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Observation e71e431d-f4d5-48d2-aac1-80d402d5b04a · outbound

This paper cites Adaptiveregularizationofweightvectors.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Adaptiveregularizationofweightvectors

Reference 52

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source=pdf_text observed=2026-08-16T11:05:25.957178Z digest=sha256:fd8a79ed0dc8a7610f9b36b595144e2b3f51cdf4fa1746475c3a74427eb478e2

Observation c05c80d6-b075-4fce-84d1-a8ceea048faa · outbound

This paper cites Phishdef: Url names say it all, in: 2011 Proceedings IEEE INFOCOM, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishdef: Url names say it all, in: 2011 Proceedings IEEE INFOCOM, IEEE

Reference 53

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source=pdf_text observed=2026-08-16T11:05:25.962280Z digest=sha256:ca674a27ed2480f710c541e2828cc7ba61a84b42151ead41acb6a0eff673e5fc

Observation 855ebd35-78bb-41da-a5e8-0bb2ded0c8f5 · outbound

This paper cites Malicious url filtering—a big data application, in: 2013 IEEE international conference on big data, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url filtering—a big data application, in: 2013 IEEE international conference on big data, IEEE

Reference 54

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source=pdf_text observed=2026-08-16T11:05:25.967675Z digest=sha256:cd21b156877db12ea949a79c350f8505531f6ea86db34ffd07b493dc63a566a7

Observation 31ba20a0-8382-4a85-b327-c0b56974a44b · outbound

This paper cites Detecting malicious short urls on twitter.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detecting malicious short urls on twitter

Reference 55

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Observation f8304a3a-7cad-46f6-a69c-9aaeb57a97b8 · outbound

This paper cites Anomaly based web phishing page detection, in: 2006 22nd Annual Computer Security Applications Conference (ACSAC’06), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Anomaly based web phishing page detection, in: 2006 22nd Annual Computer Security Applications Conference (ACSAC’06), IEEE

Reference 56

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Observation e9d3a4f8-1ac7-4289-8f3d-1bc33ad796e8 · outbound

This paper cites Click traffic analysis of short url spam on twitter, in: 9th IEEE international conference on collaborative computing: networking, applications and worksharing, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Click traffic analysis of short url spam on twitter, in: 9th IEEE international conference on collaborative computing: networking, applications and worksharing, IEEE

Reference 57

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Observation 91fff95b-50d0-49c1-ae1f-b8427a278c6d · outbound

This paper cites Malicious url and intrusion detection using machine learning, in: 2024 International Conference on Information Networking (ICOIN), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious url and intrusion detection using machine learning, in: 2024 International Conference on Information Networking (ICOIN), IEEE

Reference 58

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source=pdf_text observed=2026-08-16T11:05:25.988648Z digest=sha256:0e0d7b529fd9ec22f6081c41fe3e16050fca6d97450d216424d5edf3cb777821

Observation 080911a4-001a-4843-b4b7-0cb4653d91e1 · outbound

This paper cites Detecting malicious websites by learning ip address features, in: 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detecting malicious websites by learning ip address features, in: 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, IEEE

Reference 59

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source=pdf_text observed=2026-08-16T11:05:25.994484Z digest=sha256:29535be04eccd9fd78f848a2cdd84c9fcc62ecbf5fe85664a05f33e53b248697

Observation ba7b402b-ea89-4323-88f9-4ce26ca0c1c2 · outbound

This paper cites Modeling of ship fuel consumption based on multisource and heterogeneous data: Case study of passenger ship.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Modeling of ship fuel consumption based on multisource and heterogeneous data: Case study of passenger ship

Reference 60

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Observation be504d1b-2079-4bff-ad76-f1a64b1121af · outbound

This paper cites O’Reilly Media, Inc.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories O’Reilly Media, Inc

Reference 61

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source=pdf_text observed=2026-08-16T11:05:26.005025Z digest=sha256:ed3b23086efcfa0886ac0b0b49f42bdf8f454248c4868209b71bbf078bf13fc1

Observation 81c190cb-8d7a-410d-a8f5-d9bc4b0e6eab · outbound

This paper cites URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 62

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Observation fd7fd88d-7e94-4881-8ba9-cf48bb8a2226 · outbound

This paper cites Texception:Acharacter/word-leveldeeplearningmodelforphishingurldetection,in: ICASSP2020-2020IEEEInternationalConferenceonAcoustics,SpeechandSignalProcessing(ICASSP),pp.2857–2861.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Texception:Acharacter/word-leveldeeplearningmodelforphishingurldetection,in: ICASSP2020-2020IEEEInternationalConferenceonAcoustics,SpeechandSignalProcessing(ICASSP),pp.2857–2861

Reference 63

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source=pdf_text observed=2026-08-16T11:05:26.015536Z digest=sha256:0b262e2a5a2fb1c9042b3a15c59d4d67b0c855a1706972893be7935a329efa75

Observation 9402eb10-9d2c-4568-a04b-1d5c307b8491 · outbound

This paper cites Deepcharacter-levelanomaly detectionbasedona convolutionalautoencoderfor zero-dayphishingurldetection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Deepcharacter-levelanomaly detectionbasedona convolutionalautoencoderfor zero-dayphishingurldetection

Reference 64

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Observation ce77493f-0258-4933-b439-e57570700ae3 · outbound

This paper cites Grambeddings:anewneuralnetworkforurlbasedidentificationofphishingwebpagesthrough n-gram embeddings.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Grambeddings:anewneuralnetworkforurlbasedidentificationofphishingwebpagesthrough n-gram embeddings

Reference 65

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Observation 599b9460-9a46-4262-b431-6b84797f272a · outbound

This paper cites Attention Is All You Need.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Attention Is All You Need

Reference 66

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source=pdf_text observed=2026-08-16T11:05:26.030397Z digest=sha256:8b62aed25e7c59da3c67023114a17186ed6253ade7b10f6f1ce0370e591f9dec

Observation f544e77c-43f3-4bee-9daa-ac34b1afcc64 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 67

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source=pdf_text observed=2026-08-16T11:05:26.035582Z digest=sha256:635c0d53c6ce28f6a941e2c783a810186ae3b285decb084c0a710e13e7d108cf

Observation 925899fa-a923-41a3-87bc-7634c6360d40 · outbound

This paper cites Detectingphishingurlsusingtheberttransformermodel,in:2023IEEEInternational Conference on Big Data (BigData), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detectingphishingurlsusingtheberttransformermodel,in:2023IEEEInternational Conference on Big Data (BigData), pp

Reference 68

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source=pdf_text observed=2026-08-16T11:05:26.040821Z digest=sha256:cdaf108fac1788f0f9b31c4d23285b1528de69556011ac9eac5ff6f121ccb08f

Observation 323b1e22-3e86-4b85-b5a3-ceca0c9ecee5 · outbound

This paper cites Bert-based approaches to identifying malicious urls.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Bert-based approaches to identifying malicious urls

Reference 69

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Observation a7589b33-7afa-4dd4-9169-c49eb01a56c8 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 70

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.050923Z digest=sha256:7b127d2dac9b961c10cdda9544b09dca317ee8e7977b703205928f586fa95ea0

Observation 83545176-5f0d-4c37-823e-b29431560bf6 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-16T11:05:26.055647Z digest=sha256:a4321849939fd125527c8b5420167af35a20a3d41738ad59a85e26b3e31694d5

Observation 05f67672-4b95-4803-bc4e-a8973efa449f · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 72

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.060531Z digest=sha256:d954d686c6934a4801a50a3fa5072e33916da605dc9c48a185fcdc556f0cdda5

Observation 489ea2e2-d626-4b48-880c-fb89af372fdb · outbound

This paper cites Tcurl: Exploring hybrid transformer and convolutional neural network on phishing url detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Tcurl: Exploring hybrid transformer and convolutional neural network on phishing url detection

Reference 73

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source=pdf_text observed=2026-08-16T11:05:26.065565Z digest=sha256:fae24964bf6a9d501330595fd9d66086324f2fe940454c8ccfb4aa0168bc116e

Observation 6fcc3acb-fc08-43fe-bb8f-05c38d249d7c · outbound

This paper cites A hybrid transformer ensemble approach for phishing website detection, in: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A hybrid transformer ensemble approach for phishing website detection, in: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), pp

Reference 74

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.070526Z digest=sha256:12bd78157b1e6bd08b4d6f1d2282eb95c3aca74a4ce86f92ced50fa53dfe8df2

Observation 5097e9e1-90a4-44c8-9036-2b40a5c7c1f0 · outbound

This paper cites Transurl:Improvingmaliciousurldetectionwithmulti-layertransformer encoding and multi-scale pyramid features.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Transurl:Improvingmaliciousurldetectionwithmulti-layertransformer encoding and multi-scale pyramid features

Reference 75

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source=pdf_text observed=2026-08-16T11:05:26.075888Z digest=sha256:32648e16bdc89597c305a924cdc4ab1c1312cc7e66a07a79a01b91dc3e2c697a

Observation e0f85158-401a-4d62-b504-5acbd737e6ec · outbound

This paper cites An integrated model based on deep learning classifiers and pre-trained transformer for phishing url detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories An integrated model based on deep learning classifiers and pre-trained transformer for phishing url detection

Reference 76

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.082440Z digest=sha256:693639b34db164cd07605d8495535831bb0fd81ed571c6eef1ebd3ea1fae7b0b

Observation 8528800f-cb95-442d-b6c3-4f7283737755 · outbound

This paper cites Urdu text reuse detection at phrasal level using sentence transformer-based approach.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Urdu text reuse detection at phrasal level using sentence transformer-based approach

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.087730Z digest=sha256:934aea342db55fe19afcccff4959d61b147c71d00b97d469b0e51b856cd331f2

Observation 1195af8d-6c92-4340-aa99-2f18ba5892f7 · outbound

This paper cites A large-scale pretrained deep model for phishing url detection, in: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A large-scale pretrained deep model for phishing url detection, in: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE

Reference 78

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source=pdf_text observed=2026-08-16T11:05:26.092595Z digest=sha256:a69ec8d16a1726d995ed9c1920d8d72b5dec949b25cb2edb45efbbed4bf85ba9

Observation e0a50193-d1b3-4ecf-8a77-0ae24f1301e7 · outbound

This paper cites Alightweightmulti-viewlearningapproachforphishingattackdetectionusingtransformer with mixture of experts.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Alightweightmulti-viewlearningapproachforphishingattackdetectionusingtransformer with mixture of experts

Reference 79

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source=pdf_text observed=2026-08-16T11:05:26.097651Z digest=sha256:ece162c7c094f70eac0f8b51afa038e72ef816698a82d5bfac5cfe064bdd5eed

Observation d533c9bc-e231-4b09-91c6-f93f1700e58a · outbound

This paper cites Exposure: Finding malicious domains using passive dns analysis., in: Ndss, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Exposure: Finding malicious domains using passive dns analysis., in: Ndss, pp

Reference 80

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source=pdf_text observed=2026-08-16T11:05:26.103453Z digest=sha256:034748c16a6976f532f18c10073b0a592609ac630a3d4832597078d3a59f803c

Observation f941ff34-7f27-461c-9c81-ffdfce8e6289 · outbound

This paper cites Journal of Network and Computer Applications , 104170.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Journal of Network and Computer Applications , 104170

Reference 81

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source=pdf_text observed=2026-08-16T11:05:26.108817Z digest=sha256:8eb683b4f8f943e4876dd5d9f2894c4c416d7f51ec0958c5a217b5b2cc5f47a1

Observation 19b8561f-537c-4ccb-9ea6-345bc2de0c87 · outbound

This paper cites A deep learning-based phishing detection system using cnn, lstm, and lstm-cnn.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A deep learning-based phishing detection system using cnn, lstm, and lstm-cnn

Reference 82

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source=pdf_text observed=2026-08-16T11:05:26.114104Z digest=sha256:c1ff0158614d23400937282b73573f24b643ad6ae53ef0f0dc334edc847a282f

Observation 34abee51-ae67-411f-8415-8288e89863aa · outbound

This paper cites Researchonwebsitephishingdetectionbasedonlstmrnn,in:2020IEEE4thInformationTechnology,Networking,Electronic and Automation Control Conference (ITNEC), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Researchonwebsitephishingdetectionbasedonlstmrnn,in:2020IEEE4thInformationTechnology,Networking,Electronic and Automation Control Conference (ITNEC), pp

Reference 83

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source=pdf_text observed=2026-08-16T11:05:26.119544Z digest=sha256:691f1af14354450f6453f943c6429c01233f0d6a750bb7f5a66e0369bbfd1643

Observation 701539d3-dec4-4ad4-867f-d8a05e585232 · outbound

This paper cites Performanceanalysisofmaliciousurldetectionbyusingrnnandlstm,in:2020FourthInternational ConferenceonComputingMethodologiesandCommunication(ICCMC),pp.454–458.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Performanceanalysisofmaliciousurldetectionbyusingrnnandlstm,in:2020FourthInternational ConferenceonComputingMethodologiesandCommunication(ICCMC),pp.454–458

Reference 84

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source=pdf_text observed=2026-08-16T11:05:26.124544Z digest=sha256:32be043f0db6301aed50d352df2d86922883c269c7b3a8607ccd9b8d2f1b32ef

Observation c590c59b-ad77-4d66-a85e-f57b2773dce9 · outbound

This paper cites Antiphishstack: Lstm-based stacked generalization model for optimized phishing url detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Antiphishstack: Lstm-based stacked generalization model for optimized phishing url detection

Reference 85

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source=pdf_text observed=2026-08-16T11:05:26.129744Z digest=sha256:3cfb7158152a0e86301d1179a27a5ac5bced562d4650fff517e7ffb2f4e51973

Observation 5249bf5e-50b9-414a-87a9-fa02bdb81364 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-16T11:05:26.134916Z digest=sha256:ae40dbe7d1ff4d4411881bb2a218f5b40c3e63bcc39c7b1c494e3469727f3f27

Observation d00f9f5b-b34a-42c2-9446-591642334901 · outbound

This paper cites A hybrid dnn–lstm model for detecting phishing urls.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A hybrid dnn–lstm model for detecting phishing urls

Reference 87

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source=pdf_text observed=2026-08-16T11:05:26.139875Z digest=sha256:e7fc8bd1808149a8e61138e9804da13cfc8627ce9137d8abbd69d571f0c8b409

Observation 72754c6d-1df2-465c-9a08-8e23fe81b77f · outbound

This paper cites A stacking model using url and html features for phishing webpage detection.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories A stacking model using url and html features for phishing webpage detection

Reference 88

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source=pdf_text observed=2026-08-16T11:05:26.145180Z digest=sha256:44e372b5f0d8cad5d7b083812952e60b73d1eb2a204ef98c1b94d9b5446e8ae4

Observation 490af163-79a7-43f5-87f1-78de54337149 · outbound

This paper cites Delta: automatic identification of unknown web-based infection campaigns, in: Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security, pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Delta: automatic identification of unknown web-based infection campaigns, in: Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security, pp

Reference 89

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source=pdf_text observed=2026-08-16T11:05:26.150269Z digest=sha256:c339790a456aca84d868464788c05f785a9af3f040d962a3e473b6a999167ab1

Observation 2f747fc0-a2c0-4776-9c79-3d71f1ce21de · outbound

This paper cites Identification of malicious web pages with static heuristics, in: 2008 Australasian Telecommunication Networks and Applications Conference, IEEE.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Identification of malicious web pages with static heuristics, in: 2008 Australasian Telecommunication Networks and Applications Conference, IEEE

Reference 90

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source=pdf_text observed=2026-08-16T11:05:26.155119Z digest=sha256:a2ac45a90aee39d712506839ad3b4324f31aca1deb7d120bff03463dae569958

Observation 957f0ee5-08c3-4c4f-8e49-29f96cb25285 · outbound

This paper cites Phishing detection based associative classification data mining.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishing detection based associative classification data mining

Reference 91

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source=pdf_text observed=2026-08-16T11:05:26.160160Z digest=sha256:3f9e6fe7bf73ce7876c8e38336ba067ea0a7ac99ae6b6a96a4ea9d1255f74f91

Observation 36cdcc59-6f78-4dda-8fa8-b3014e1c26a6 · outbound

This paper cites Phishhaven—anefficientreal-timeaiphishingurlsdetectionsystem.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Phishhaven—anefficientreal-timeaiphishingurlsdetectionsystem

Reference 92

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source=pdf_text observed=2026-08-16T11:05:26.164920Z digest=sha256:a85f070c2e88372b1d7ef0252587981b38f097f97f6425f7fda3fb8863b1371a

Observation 61057b83-5ebd-4284-984b-9ab9eb7859dd · outbound

This paper cites Analysis of phishing website detection using cnn and bidirectional lstm, in: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Analysis of phishing website detection using cnn and bidirectional lstm, in: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp

Reference 93

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source=pdf_text observed=2026-08-16T11:05:26.169807Z digest=sha256:6c250a4e4a6eee5f46a0fda52805510ce2fdece49a569fb8b0b522937dfafe52

Observation 2e962495-baa0-4311-92e6-76a521962449 · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-16T11:05:26.174497Z digest=sha256:516ce193e2b463c9b50d750f231be18454ff805b6289631290f9ee800818b4b5

Observation 37a71efa-7b90-45c3-95ee-ee9a2311115e · outbound

This paper cites Look before you leap: Detecting phishing web pages by exploiting raw url and html characteristics.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Look before you leap: Detecting phishing web pages by exploiting raw url and html characteristics

Reference 95

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source=pdf_text observed=2026-08-16T11:05:26.179637Z digest=sha256:14185ba4a33d60898dd4e650c07c3dc42e977eee25a511ca23adb66d7c7362ee

Observation 300fdfea-6119-4db5-bbe0-54f76ae30c3d · outbound

This paper cites Web2vec: Phishing webpage detection method based on multidimensional features driven by deep learning.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Web2vec: Phishing webpage detection method based on multidimensional features driven by deep learning

Reference 96

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no resolver link, observed 2026-08-16T11:05:26.184444Z

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source=pdf_text observed=2026-08-16T11:05:26.184444Z digest=sha256:40b71feba89ec347d4cc83aaad06c8eb8fc0a29938bc20f9377b3420163471b8

Observation a9eef262-aec7-4265-ac78-03508ecfd95b · outbound

This paper cites Detecting phishing attacks using a combined model of lstm and cnn.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Detecting phishing attacks using a combined model of lstm and cnn

Reference 97

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doi, observed 2026-08-16T11:05:27.249375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:05:26.189315Z digest=sha256:8c313609ca89601b16c0261f0694aee8989d97966712cae6ed616ae604cba668

Observation e85d4d73-016b-4700-af87-8e086b4c209d · outbound

This paper cites an unresolved cited work.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-16T11:05:26.194173Z digest=sha256:0696cc3bd3f2f0f4cc06b5c3a935019bc253a4aff09aaeb2a5ddbed40fff8d8b

Observation 36a87399-0b6a-46de-abe2-1d053e4ebe3d · outbound

This paper cites Htmlphish:Enablingphishingwebpagedetectionbyapplyingdeeplearningtechniquesonhtmlanalysis, in: 2020 International Joint Conference on Neural Networks (IJCNN), pp.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Htmlphish:Enablingphishingwebpagedetectionbyapplyingdeeplearningtechniquesonhtmlanalysis, in: 2020 International Joint Conference on Neural Networks (IJCNN), pp

Reference 99

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source=pdf_text observed=2026-08-16T11:05:26.199146Z digest=sha256:7fcb0fd9722cf80c13817c73a0215d6621073001ea13fad955e39ace520fa5ab

Observation f4465ad8-c91a-42df-8439-4eaa248aad9d · outbound

This paper cites Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using url and html.

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using url and html

Reference 100

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source=pdf_text observed=2026-08-16T11:05:26.203881Z digest=sha256:d2c355d664c18355403de2091fe656662db77903bf9d75b5619e33f9ba084225

Pith citing papers

No inbound Pith citation observations are available.