{"data":[{"id":"ddfdd9b9-3e7b-4975-993d-8edd4a7675dc","title":"Microsoft Teams to get support for third-party deepfake detection tools","summary":"Microsoft plans to add support for third-party deepfake detection solutions and a new impersonation protection feature to Teams meetings. According to Microsoft 365 Roadmap entries, both are in development and are slated for general availability in November after a worldwide rollout.","sourceUrl":"https://www.bleepingcomputer.com/news/security/microsoft-teams-to-add-third-party-deepfake-detection-impersonation-protection/","publishedAt":"2026-10-08T12:08:16.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["security","industry"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["Microsoft"],"affectedVendorsRaw":["Microsoft Teams","Microsoft 365","Defender"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-10-08T12:08:16.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.8,"researchCategory":null,"atlasIds":null},{"id":"f7d52393-8845-4861-8959-8aa381a6d117","title":"Modulate Raises $25 Million to Advance Deepfake Detection","summary":"Frontier AI firm Modulate raised an additional $25 million from Future Ventures, with participation from Hyperplane and Lakestar, bringing its total funding to $60 million. The company builds audio-native AI models for its Velma platform, which combines more than 100 specialized models to detect signals such as emotion, tone, intent and synthetic speech in real time.","sourceUrl":"https://www.securityweek.com/modulate-raises-25-million-to-advance-deepfake-detection/","publishedAt":"2026-09-28T17:30:00.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["industry","security"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Modulate","Velma","Hugging Face"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-09-28T17:30:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"8c5d2b72-275b-40ff-b9bf-71faf629fc4c","title":"Meta ordered to remove UK deepfakes as oversight board criticises ‘inadequate’ safeguards","summary":"Meta's Oversight Board ordered the company to remove two AI-generated deepfake videos from Facebook: one showing a Labour councillor in Scotland making inflammatory comments about refugees, and one falsely depicting a Muslim campaign volunteer giving health advice. The board also said Meta should do more to tackle AI-generated fake imagery.","sourceUrl":"https://www.theguardian.com/technology/2026/sep/17/meta-ordered-remove-deepfakes-oversight-board-inadequate-safeguards","publishedAt":"2026-09-17T14:43:34.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["safety","policy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["Meta"],"affectedVendorsRaw":["Meta","Facebook"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-09-17T14:43:34.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"fee1cabd-b507-4134-8d64-80dfdaacf9c7","title":"New York Seizes a Dozen Celebrity Deepfake Websites","summary":"New York's Manhattan District Attorney's Office seized 12 domains it says were used to share, publish and sell celebrity deepfake videos. Officials say around 1,200 people, overwhelmingly women, were depicted in nonconsensual sexual images and videos on the sites, and investigations into those responsible and the uploaders are ongoing. The seizures were carried out under New York's criminal procedure laws.","sourceUrl":"https://www.wired.com/story/new-york-seizes-a-dozen-celebrity-deepfake-websites/","publishedAt":"2026-09-14T16:50:00.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["safety","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["pii_leakage"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-09-14T16:50:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"4a276cae-cb5d-4e88-8b8b-2816f9e25e31","title":"Sexually Explicit Deepfake Sites Target 100-Plus Politicians in Europe","summary":"New research by Benjamin Shultz, published by Agora Digitale Transformation, found that at least 138 women members of parliament from 22 EU countries appeared or were mentioned on around 160 deepfake abuse domains, compared with nine male MPs. Shultz estimates women MPs are 33 times more likely to be targeted. The sites host explicit deepfake videos, profiles of MPs with photos and personal details, and links to nudifier apps.","sourceUrl":"https://www.wired.com/story/sexually-explicit-deepfake-sites-target-100-plus-politicians-in-europe/","publishedAt":"2026-09-14T11:00:00.000Z","severity":"low","cvssSeverity":null,"cvssScore":null,"labels":["safety","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["nudifier apps","deepfake creation tools"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["pii_leakage"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-09-14T11:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"48344602-bd07-4674-94fe-42a72229aebe","title":"Deepfakes are wrecking influencers’ credibility, one fake ad at a time","summary":"Emily Schuman, creator of the lifestyle blog Cupcakes and Cashmere, found an Instagram ad showing her holding GLP-1 drugs for the telehealth company Gala. She had never heard of Gala and had no connection to the ad, which was built from an altered selfie she posted years earlier. Further AI-generated posts appeared showing her promoting Meroda Cosmetics and Superpower.","sourceUrl":"https://www.theguardian.com/technology/2026/sep/12/deepfakes-wrecking-influencers-credibility","publishedAt":"2026-09-12T12:00:34.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["security","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Instagram","TikTok","Gala","Superpower","Meroda Cosmetics"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-09-12T12:00:34.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.8,"researchCategory":null,"atlasIds":null},{"id":"ab8b01be-78d5-4876-bc57-f5f11b9752b9","title":"Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook","summary":null,"sourceUrl":"https://dlnext.acm.org/doi/abs/10.1145/3833867?af=R","publishedAt":"2026-09-03T12:01:34.517Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["research","security"],"issueType":"research","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null},{"id":"0ec39996-5a65-4b8c-9f1e-570bc7ff18c1","title":"Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook","summary":null,"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3833867?af=R","publishedAt":"2026-08-23T12:44:18.801Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["research","safety"],"issueType":"research","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null},{"id":"f735cb3d-c434-4af5-9b23-52c63a4413bc","title":"Deepfake Anthony Albanese used in celebrity scams duping Australians out of $7.4m, Asic warns","summary":"Australia's corporate watchdog, Asic, has warned of a steep rise in scams using deepfakes of celebrities and politicians to lure victims into fake investment opportunities. Anthony Albanese is the most commonly impersonated figure, and Australians lost $7.4m to the top 10 impersonated public figures, according to reports to Scamwatch. Asic dealt with more than 19,400 scams last financial year, almost triple the previous year.","sourceUrl":"https://www.theguardian.com/australia-news/2026/aug/17/deepfake-anthony-albanese-used-in-celebrity-scams-duping-australians-out-of-74m-asic-warns","publishedAt":"2026-08-16T14:01:27.000Z","severity":"low","cvssSeverity":null,"cvssScore":null,"labels":["security","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["deepfake video","fake AI-generated audio"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"Scamwatch advises consumers to stop before sharing money or information, check the details independently, and report scams to Scamwatch, their bank, or cyber.gov.au. Asic advises verifying website addresses, checking whether a person or company is legitimate, and checking licences against Asic's professional registers.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-16T14:01:27.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.8,"researchCategory":null,"atlasIds":null},{"id":"809e1528-4467-4391-9ca8-9dd9ea77742a","title":"Apple could help you prove your iPhone photos aren’t deepfakes","summary":"Apple appears to be developing an iOS feature that verifies when a photo was taken on an iPhone camera. According to 9to5Mac, code references in iOS 27 beta 5 point to an \"Apple Reference Image\" system that embeds provenance metadata into photos at capture. The feature is not yet live, and a privacy disclosure in the beta says it will be off by default.","sourceUrl":"https://www.theverge.com/tech/977921/apple-reference-image-iphone-metadata","publishedAt":"2026-08-11T16:19:15.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["industry","policy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["Apple"],"affectedVendorsRaw":["Apple","iPhone","iOS 27","Apple Reference Image"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"Per 9to5Mac, the feature can be enabled via Settings > Camera > Reference Image > Reference Mode, once it rolls out.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-11T16:19:15.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.8,"researchCategory":null,"atlasIds":null},{"id":"c03f79be-bea8-4d92-95a8-c400cadd563c","title":"Rising number of UK children report seeing explicit deepfakes of themselves","summary":"The Report Remove service, which blocks intimate images from appearing online, says UK children have reported a rapid increase in digitally manipulated explicit images of themselves. A safety watchdog warned that AI and nudification tools are making such sexualised content easier to produce.","sourceUrl":"https://www.theguardian.com/technology/2026/aug/08/uk-children-explicit-deepfake-images-ai","publishedAt":"2026-08-08T07:00:39.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["safety","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["nudification tools","AI image generation tools"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["pii_leakage"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-08T07:00:39.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["confidentiality","safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.8,"researchCategory":null,"atlasIds":null},{"id":"50bdcaf9-434d-4e88-9aca-4660faa1f665","title":"DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning","summary":"This paper presents DeepForgeSeal, a deep learning framework for proactive deepfake detection using semi-fragile watermarks. A learnable watermark embedder operates in latent space, and Adversarial Reinforcement Learning (ARL) trains it against a curriculum of benign and malicious image manipulations generated by an adversarial attacker agent. On the CelebA and CelebA-HQ benchmarks, the authors report improvements of over 4.5% and more than 5.3% respectively under challenging manipulation scenarios.","sourceUrl":"http://ieeexplore.ieee.org/document/11643959","publishedAt":"2026-08-06T13:16:19.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["research","security"],"issueType":"research","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-06T13:16:19.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null},{"id":"65bf85d7-fe8c-44ac-b235-700e1651ee8c","title":"AI Sends Global Crime Syndicates Into Fraud Nirvana","summary":"Organized crime groups are running scams at scale and making billions, according to the source. The source names AI-enabled voice cloning, deepfake real-time video overlays, LLM-driven persona management and automated translation as the tools behind the activity.","sourceUrl":"https://www.darkreading.com/threat-intelligence/ai-global-crime-syndicates-fraud-nirvana","publishedAt":"2026-08-05T23:35:28.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["security","industry"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["AI voice cloning","deepfake real-time video overlays","LLM-driven persona management","automated translation tools"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-05T23:35:28.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"1291c3e2-eadf-4d2f-95e2-d38fa75b6972","title":"Europe’s AI labeling and transparency rules are now in effect","summary":"The EU's AI Act transparency obligations took effect on August 2nd, requiring companies to disclose when people are interacting with AI models and when content has been generated or altered by them. The rules split duties between providers, which develop and market AI systems, and deployers, which use them, and some companies such as Meta and SpaceXAI fall under both.","sourceUrl":"https://www.theverge.com/ai-artificial-intelligence/974571/eu-ai-act-transparency-labels-rules-deepfakes","publishedAt":"2026-08-03T17:38:45.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["policy","safety"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["Meta"],"affectedVendorsRaw":["Meta","SpaceXAI"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-08-03T17:38:45.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.9,"researchCategory":null,"atlasIds":null},{"id":"b4ca1e42-7518-4be8-9608-3348dee88b56","title":"Google Earth’s AI deepfake tool only lasted one day","summary":"Google shut down a Google Earth feature launched Thursday that let users edit satellite images with text prompts using AI. Digital Digging's Henk van Ess used it to generate images of refugees near the Mexican border and a bomb crater by a hospital in Gaza. Google had initially said the images carried a digital watermark and that it blocked \"image creation on harmful topics.\"","sourceUrl":"https://www.theverge.com/tech/973943/google-earth-ai-image-generation-deepfake-tool","publishedAt":"2026-07-31T19:13:29.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["industry","safety"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["Google"],"affectedVendorsRaw":["Google Earth","Nano Banana 2"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-31T19:13:29.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"31e1afb9-6e73-4949-af16-bc7a54f8e37e","title":"EU to Crack Down on AI Deepfakes, Illicit Imagery and Hacking With New Team in Brussels","summary":"The European Union launched a new team in Brussels to monitor AI companies for violations of its AI Act, including sexually explicit material, fake photos and videos, and cyber threats to public infrastructure. The AI Act comes into force on Sunday and requires AI companies to label chatbot output and imagery as AI-generated, and Brussels can fine firms or cut off their access to the EU market for breaches.","sourceUrl":"https://www.securityweek.com/eu-to-crack-down-on-ai-deepfakes-illicit-imagery-and-hacking-with-new-team-in-brussels/","publishedAt":"2026-07-31T10:00:00.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["policy","industry"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["OpenAI","Anthropic"],"affectedVendorsRaw":["OpenAI","Anthropic","DeepSeek","ChatGPT"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-31T10:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null},{"id":"e2d11b2c-4803-4149-95f1-df861a98cf8a","title":"Hugging Face Has a Deepfake Nudes Problem","summary":"AI Forensics, a European nonprofit, tested nine top image editing Spaces on Hugging Face and found seven easily changed a clothed image of a woman into a topless one. In a week of honeypot Spaces, 73 percent of over 1,000 prompts were sexual, 83 percent of those sought to undress or sexualize the pictured person, and 6.7 percent of sexual requests targeted apparent children. Hugging Face did not respond to WIRED's questions about its moderation and safety practices.","sourceUrl":"https://www.wired.com/story/hugging-face-has-a-nonconsensual-deepfakes-problem/","publishedAt":"2026-07-28T05:30:00.000Z","severity":"low","cvssSeverity":null,"cvssScore":null,"labels":["safety","privacy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Hugging Face","OpenAI","Google","Grok"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-28T05:30:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["confidentiality","safety"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null},{"id":"b032bfde-7704-4cb4-85e5-453be4e5fc86","title":"UnVC: Protecting Your Voiceprint by Generative Adversarial Speech","summary":"This paper proposes UnVC (Unable to be Voice Cloned), a proactive defense against malicious voice cloning that uses a WaveGlow-based generative adversarial speech approach to produce distribution-consistent anti-fake speech samples instead of adding perturbations to the original signal. The authors report that UnVC outperforms existing mainstream methods in robustness, generalization to unseen cloning attacks, and anti-fake sample quality, and that it keeps reliable anti-fake capability under social media and re-recording conditions.","sourceUrl":"http://ieeexplore.ieee.org/document/11621972","publishedAt":"2026-07-23T13:16:52.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["security","research"],"issueType":"research","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["other"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-23T13:16:52.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null},{"id":"6183a2d2-d367-4336-aaa2-e38efa6f29d3","title":"xAI sues a man for using Grok to generate CSAM ‘deepfakes’","summary":"xAI is suing Terry Wayne Harwood, a South Carolina man, for allegedly using the Grok chatbot to generate child sexual abuse material. The company says he knowingly used Grok to circumvent safeguards, alter nonconsensual images and distribute the material, breaching its policies. Harwood was arrested in February and faces eight felony charges.","sourceUrl":"https://www.theverge.com/ai-artificial-intelligence/966293/xai-grok-user-lawsuit-csam","publishedAt":"2026-07-15T21:33:20.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["safety","policy"],"issueType":"news","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":["xAI"],"affectedVendorsRaw":["Grok"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":["jailbreak"],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-15T21:33:20.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.9,"researchCategory":null,"atlasIds":null},{"id":"9242f2ac-43c7-4290-896a-589159f8662c","title":"Dual-Tree Complex Wavelet Driven Hierarchical Spatial-Frequency Fusion Learning for Robust Deepfake Detection","summary":"Researchers address deepfake detection, where high-fidelity generators remove explicit traces and leave only subtle frequency-domain artifacts. They propose a Hierarchical Spatial-Frequency Fusion (HSFF) module with frequency attention, paired with a Collaborative Multi-Subband Enhancement (CMSE) mechanism that combines Dual-Tree Complex Wavelet Transform (DTCWT) features with pre-trained visual features across six directional subbands. The method reports 97.2% cross-dataset AUROC on Celeb-DFv2 and 89.1% on DFDC.","sourceUrl":"http://ieeexplore.ieee.org/document/11606153","publishedAt":"2026-07-13T13:18:34.000Z","severity":"info","cvssSeverity":null,"cvssScore":null,"labels":["security","research"],"issueType":"research","cveId":null,"cweIds":null,"affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","solution":"N/A -- no mitigation discussed in source.","attackType":[],"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"patchAvailable":null,"disclosureDate":"2026-07-13T13:18:34.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}],"meta":{"total":71,"limit":20,"offset":0}}