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Meta Failed to Catch Hundreds of AI Child Abuse Ads. Some Included Images of Real Kids
Meta's AI ad-detection failed to catch 350+ CSAM video ads on Facebook, Instagram, and Threads, some depicting images of real children.
The Tech Transparency Project found over 250 additional ads containing child sexual abuse material on Meta platforms since August, on top of ~53 previously removed, exceeding 350 total since late last year. Some ads used images of real children, including a European royal family minor and teen influencers, morphed into graphic sexual videos via AI face-swapping. Ads linked to nudification apps from Chinese developers and reached over 29,000 EU accounts plus thousands in the US, UK, Australia, and India.
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San Francisco Orders Meta to Stop ‘Allowing’ AI Child Abuse Ads
San Francisco's city attorney sent Meta a cease-and-desist over 350+ ads containing AI-generated child sexual abuse content, demanding remediation within 28 days.
San Francisco City Attorney David Chiu issued a cease-and-desist ordering Meta to stop 'allowing' paid ads with AI-generated child sexual abuse content and demanding answers within 28 days about moderation failures. Tech Transparency Project researchers found more than 350 ads that turned images of minors, some of real people including a European royal family member, into videos depicting sexual acts, directing users to AI nudify apps; the ads reached over 29,000 accounts across the EU, US, Australia and India. Meta says all ads have been removed, most had fewer than 200 impressions and total ad spend was under $5,000, and argues the ads ran outside the city attorney's jurisdiction.
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“This is the AI men actually use”: Meta ads pushed apps nudifying real teens
TTP found Meta ran ads for AI nudify apps using real photos of minors, including a CSAM ad, drawing scrutiny from US and Australian regulators.
The Tech Transparency Project reported that Meta served ads for AI nudify apps using photos of real teens, which collectively reached over 29,000 people in the EU and 6,800 in the UK, with about 80% of ads shown in the US. A Facebook page posing as representing the Church of Jesus Christ of Latter-day Saints ran a CSAM ad that Meta only disabled after TTP flagged it. Michigan and Florida attorneys general are investigating, Senator Mark Warner has demanded action, and Australia's eSafety regulator requested information from Meta at a senior level. Meta said flagged ads averaged fewer than 200 impressions with total spend under $5,000.
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China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies
NSA, CISA, and FBI warn DeepSeek, Alibaba, and other Chinese AI firms ran industrial-scale distillation of U.S. frontier models, threatening U.S. AI leadership.
A joint NSA, CISA, and FBI Cybersecurity Advisory (AA26-251A) says China-based firms DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens from U.S. frontier models including Claude, GPT, Gemini, and Grok, likely with Chinese government knowledge. Campaigns running since at least late 2024 used native APIs, cloud providers, third-party aggregators, gray-market proxy "transfer stations", and shared premium subscriptions to bypass geographic restrictions, evade safeguards, and violate providers' terms of use. The agencies recommend detecting anomalous prompts, accounts, and usage patterns; subtly altering responses to suspected distillers; and cross-organization intelligence sharing. They also call DeepSeek's publicly cited $5.6M training cost misleading because it excludes data acquired through distillation.
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Introducing Unit 42’s Attribution Framework
Unit 42 releases its Attribution Framework, a systematic method using Diamond Model and Admiralty scores to attribute activity clusters to named threat actors.
Palo Alto Networks' Unit 42 introduced a structured framework for threat actor attribution built on the Diamond Model of Intrusion Analysis and Admiralty reliability/credibility scoring. The framework tracks activity at three levels: activity clusters (named CL-STA, CL-CRI, CL-UNK, or CL-MIX), temporary threat groups, and named threat actors using the constellation naming schema. Analysts score evidence across TTPs, tooling, malware code, OPSEC, infrastructure, timelines, and victimology to decide when to merge or elevate clusters, avoiding premature group naming.
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338 Million Attack Simulations Reveal The State Of Enterprise Defense
Picus Labs' Blue Report 2026, from 338 million attack simulations, finds defenses strong at the perimeter but blocking only 37% of post-compromise actions.
Picus Labs' fourth annual Blue Report analyzed over 338 million attack simulations from production environments in H1 2026. Average prevention effectiveness rose from 62% to 69%, but only 37% of attacker actions were blocked after compromise, with reconnaissance and credential theft largely missed. IOC-based malware download prevention fell to 50% from 71% in 2024, and Mimikatz credential dumping from LSASS memory was blocked 94% of the time versus 17% from other memory locations and 3% from registry.
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July 2026 CVE Landscape
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March 2026 CVE Landscape: 31 High-Impact Vulnerabilities Identified, Interlock Ransomware Group Exploits Cisco FMC Zero
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September 2025 CVE Landscape
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ToolShell Exploit: Critical SharePoint Zero
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