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ZDI-26-603: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerability
Foxit PDF Reader has a second annotation use-after-free vulnerability (CVE-2026-13127, CVSS 7.8) allowing remote code execution via malicious files or pages.
ZDI-26-603 describes a use-after-free vulnerability in the annotation feature of Foxit PDF Reader, tracked as CVE-2026-13127 with a CVSS score of 7.8. Successful exploitation allows remote attackers to execute arbitrary code, but requires user interaction such as visiting a malicious page or opening a malicious file. The advisory does not mention any exploitation in the wild.
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ZDI-26-675: Adobe Acrobat Reader DC Annotation Use-After-Free Remote Code Execution Vulnerability
ZDI disclosed a CVSS 7.8 use-after-free remote code execution flaw (CVE-2026-81976) in Adobe Acrobat Reader DC triggered via malicious PDFs.
The Zero Day Initiative published advisory ZDI-26-675 describing a use-after-free remote code execution vulnerability in Adobe Acrobat Reader DC, tracked as CVE-2026-81976 with a CVSS 7.8 score. The flaw resides in the annotation feature. Exploitation requires user interaction: the target must visit a malicious page or open a malicious file. The advisory reports no evidence of in-the-wild exploitation.
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ZDI-26-604: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerability
Foxit PDF Reader use-after-free flaw (CVE-2026-13126) allows remote code execution when users open malicious files; CVSS 7.8 per ZDI advisory.
ZDI-26-604 describes a use-after-free vulnerability in Foxit PDF Reader's annotation handling, tracked as CVE-2026-13126 and rated CVSS 7.8. Exploitation requires user interaction, with the target visiting a malicious page or opening a malicious file, and allows remote attackers to execute arbitrary code. The advisory was published by the Zero Day Initiative on August 24, 2026.
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ZDI-26-595: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerability
Foxit PDF Reader has a use-after-free vulnerability (CVE-2026-57254, CVSS 7.8) allowing remote code execution when a user opens a malicious file or page.
ZDI-26-595 describes a use-after-free vulnerability in the annotation feature of Foxit PDF Reader, tracked as CVE-2026-57254 with a CVSS score of 7.8. Successful exploitation allows remote attackers to execute arbitrary code, but requires user interaction such as visiting a malicious page or opening a malicious file. The advisory does not mention any exploitation in the wild.
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Inside ‘Project Lily’: The Humans Reading Your ChatGPT Chats
404 Media reveals OpenAI's 'Project Lily' has hundreds of contractors reading real ChatGPT user prompts, exposing sensitive personal data despite privacy filters.
404 Media reports that OpenAI employs hundreds of contractors who read real ChatGPT user prompts, including whole conversations, to rate and critique the chatbot's responses across a user base of over 900 million. Prompts are anonymized and run through OpenAI's Privacy Filter model, but the company acknowledged sensitive personal details can still reach reviewers, and 'user memories summaries' may reveal a user's location and personal context. The review work includes training ChatGPT to be less sycophantic and to stop anthropomorphizing itself, following lawsuits linking the sycophantic 4o model to multiple suicides. Anthropic confirmed it also uses human review to improve its models, and OpenAI's 'improve the model for everyone' data-sharing setting is on by default for free, Plus, and Pro users.
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The Shared Clipboard Inside the Sandbox: Cross-Account Data Leakage in ChatGPT
Check Point discovers cross-account data leakage in ChatGPT: isolated code-execution containers communicate via shared JFrog Artifactory, enabling covert Gmail exfiltration.
Check Point Research found a covert bidirectional channel between ChatGPT code-execution containers belonging to different accounts, which were supposed to be isolated from each other and the public internet. Both could reach the same internal JFrog Artifactory instance used for package delivery, whose exposed Item Management API allowed a 'shared clipboard' between containers. In a proof of concept, a hidden instruction in a shared conversation made ChatGPT retrieve email data from the victim's connected Gmail account and send it to the attacker's account while the victim received a normal answer. The same channel could exfiltrate conversation history and session files; OpenAI recently described a similar isolation weakness in its postmortem of the Hugging Face incident.
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$20 per zero-day is already the WordPress plugin reality
TrendAI and CHT Security used an AI pipeline to find over 300 verified WordPress plugin zero-days at roughly $20 per vulnerability.
A pipeline built in three days by TrendAI and CHT Security, presented at Ekoparty Miami, paired AI-driven static analysis with automated Docker provisioning and Chrome DevTools MCP dynamic verification to surface more than 300 critical zero-days in WordPress plugins within 72 hours. The run consumed about 222 million tokens across 95 tasks, averaging roughly $20 per verified vulnerability, with findings including pre-auth RCE, SQL injection, privilege escalation, SSRF, and an AI-assembled downgrade attack chain. Dynamic verification eliminated over 80% of false positives, but manual review at 30-60 minutes per finding remains the bottleneck, straining ZDI and NIST triage backlogs.
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