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ZDI-26-672: Adobe Acrobat Reader DC PDF File Parsing Integer Underflow Information Disclosure Vulnerability

ZDI disclosed CVE-2026-81977, an integer underflow in Adobe Acrobat Reader DC PDF parsing that enables sensitive information disclosure.

Zero Day Initiative advisory ZDI-26-672 reports an integer underflow in PDF file parsing in Adobe Acrobat Reader DC. A remote attacker could disclose sensitive information, but exploitation requires the victim to open a malicious file or visit a malicious page. The flaw carries a low CVSS score of 3.3. No exploitation is reported.

ZDI Published Advisories · 6d agoVulnerability 19 sourcesCVE-2026-81977

Delaware Consumer Privacy and Data-Breach Law Updates

Delaware's governor signed HB 380 and HB 381 amending the state privacy act and breach notification law.

On September 2, 2026, Delaware's Governor signed House Bill 380 and HB 381. HB 380 amends the Delaware Personal Data Privacy Act (DPDPA), enacted in 2023 and effective January 1, 2025. HB 381 separately amends Delaware's computer security breach notification law. Joseph J. Lazzarotti of JacksonLewis summarizes the changes.

DataBreaches.net · 3d agoPolicy & legal

PrivAudit: A Dual-Lens Auditing Framework for Website Privacy Practices under the CCPA

PrivAudit framework audits 998 websites for CCPA compliance, finding stronger disclosures but pervasive, weakly responsive third-party cookie tracking.

PrivAudit is an automated dual-lens auditing framework combining LLM-based analysis of privacy policies grounded in CCPA provisions with automated browser measurements of cookie writes under diverse privacy configurations. Applied to 998 websites, it finds CCPA-subject sites disclose opt-outs, data sharing, and user rights more frequently, yet tracking remains pervasive: 6,392 targeting cookies, 49% third-party writes. Cookies show limited-to-moderate responsiveness to privacy signals and consent choices even when sites claim to honor them. The framework is open-sourced and shared with regulators.

arXiv cs.CR · 7d agoResearch

Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation

TGOPD verifies teacher reliability per prompt before on-policy distillation, outperforming vanilla OPD across math, code, and instruction benchmarks.

Teacher-Gated On-Policy Distillation (TGOPD) estimates teacher reliability from verifier-scored teacher probes and routes each prompt either to dense on-policy distillation or to verifier-grounded GRPO, avoiding misleading updates from confidently wrong teachers under mode-seeking reverse KL. Across 4B and 35B students in mathematics, code, and instruction following, TGOPD outperforms vanilla OPD in all six single-domain settings and achieves higher seven-benchmark averages under multi-domain training. It also raises teacher-node GPU utilization from 9.8% to 78.9% in the measured 4B single-domain run by reusing idle teacher capacity.

Hugging Face daily papers · 15d agoAI research

ZDI-26-613: (0Day) pdfforge PDF Architect PDF File Parsing Memory Corruption Remote Code Execution Vulnerability

ZDI published ZDI-26-613, an unpatched memory corruption flaw in pdfforge PDF Architect PDF parsing enabling remote code execution (CVSS 7.8).

The Zero Day Initiative disclosed ZDI-26-613, a memory corruption vulnerability in pdfforge PDF Architect's PDF file parsing that allows remote code execution on affected installations. User interaction is required, meaning the target must visit a malicious page or open a malicious file. ZDI assigned a CVSS score of 7.8 and classifies the issue as a 0day.

ZDI Published Advisories · 16d agoAdvisory

LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity

LandingAI shipped Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity parsing models, adding usage-based billing, block-tree outputs, and word-level grounding.

LandingAI has generally released Agentic Document Extraction Gen2, rebuilt around two parsing models: DPT-3 Verity for deterministic transcription of digital documents with per-word bounding boxes and confidence scores, and DPT-3 Pro for layout-aware parsing of scans, handwriting, non-Latin scripts, and LaTeX math. Billing changes from a flat 3 credits per page to a page-plus-output-character model (Pro: 1 credit/page plus 0.5 credits per 1,000 output characters on priority; Verity: 0.3 plus 0.2), with an asynchronous standard tier at 0.5x price and vendor-claimed 25-80% cost reductions. Parse v2 returns a document-page-block tree with semantic IDs, normalized bounding boxes, and line- or word-level atomic grounding, replacing flat chunks; Gen1 client code will not run against Gen2 endpoints. Deployment options include US/EU cloud, VPCs on AWS, Azure, and Google Cloud, Snowflake, and air-gapped on-premises environments, with automated model routing planned for fall 2026.

MarkTechPost · 6d agoAI tools & infra

DPRK APTs: Ted backdoor and curlRAT target South Korean media and automotive sectors

Rapid7 uncovered a DPRK-linked Linux toolkit using a HAProxy-embedded ted backdoor, SSH keylogger, and curlRAT against South Korean media and automotive firms.

Rapid7 Labs identified a previously undocumented framework attributed with medium confidence to DPRK actors, targeting South Korean automotive and media organizations likely since early 2025. The toolkit embeds a backdoor compiled into HAProxy 2.8.12 using its filter API, plus trojanized crond, agetty, atd, sshd, and polkitd, an SSH keylogger storing credentials under /var/lib/sshd/, and a curl-based RAT with a watchdog thread. It enables remote command execution, malicious script injection into served webpages (a watering-hole loop), credential harvesting, and long-term surveillance. Hardcoded C2s are associated with APT37 via ThreatFox, and exposed groupware portals and mail servers align with Kimsuky tradecraft; the initial access vector and any CVE remain unconfirmed.

Rapid7 Blog · 12d agoThreat actor in the wild1

RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?

RoboSPA introduces a 527K-trajectory benchmark with 280 task variants showing current VLA models struggle with spatial reasoning and long-horizon planning.

RoboSPA is a large-scale robotic manipulation dataset and benchmark for diagnosing embodied reasoning in vision-language-action models, covering fine-grained spatial reasoning and long-horizon procedural planning. It spans 10 task categories and 56 base tasks instantiated across five difficulty levels for 280 variants, with 527K trajectories collected across multiple embodiments and diverse scenes. Diagnostic metrics go beyond binary success rates, and experiments show current VLA models struggle with complex spatial relations, precise low-level execution, and memory-intensive planning.

Hugging Face daily papers · 13d agoAI research

Cloudflare DDoS Threat Report H1 2026: 1 Tbps attacks soar as DNS floods and geopolitical tensions drive a new wave

Cloudflare's H1 2026 report records a 519% surge in hyper-volumetric DDoS attacks, driven by DNS and CLDAP reflection amid geopolitical tensions.

Cloudflare detected a 519% surge in hyper-volumetric DDoS attacks across its network during the first half of 2026. Attack traffic was driven heavily by DNS and CLDAP reflection vectors, with 1 Tbps attacks becoming far more common. The report attributes reshaped attack patterns to major geopolitical conflicts.

Cloudflare Blog · Aug 11, 2026Research

1.1.1.1 now supports post-quantum DNSSEC, all 2,420 bytes of it

Cloudflare's 1.1.1.1 resolver now validates post-quantum DNSSEC signatures using ML-DSA-44, a 2,420-byte NIST algorithm, preparing DNS for post-quantum migration by 2029.

Cloudflare enabled 1.1.1.1 to validate DNSSEC signatures using ML-DSA-44 (algorithm 18), a NIST-standardized post-quantum signature with 1,312-byte public keys and 2,420-byte signatures, roughly 38x larger than ECDSA P-256. The large signatures exceed common DNS-over-UDP limits, forcing fallback to TCP and creating downgrade risks while conventional algorithms must be published alongside. Cloudflare cites the risk of a quantum computer breaking RSA/ECDSA signatures by 2030 and plans full post-quantum security by 2029.

Cloudflare Blog · 6d agoTools1

ZDI-26-600: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerability

Foxit PDF Reader annotation use-after-free (CVE-2026-57237, CVSS 3.3) can disclose sensitive information when users open malicious PDFs.

ZDI-26-600 documents a use-after-free in Foxit PDF Reader annotation handling that allows remote information disclosure, tracked as CVE-2026-57237 with CVSS 3.3. Exploitation requires user interaction such as opening a malicious file or visiting a malicious page. The advisory was published by the Zero Day Initiative on August 24, 2026.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-57237

ZDI-26-596: Foxit PDF Reader PDF File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability

Foxit PDF Reader out-of-bounds read in PDF parsing (CVE-2026-57253, CVSS 3.3) can leak sensitive information via malicious files.

ZDI-26-596 covers an out-of-bounds read in Foxit PDF Reader's PDF file parsing, tracked as CVE-2026-57253 and rated CVSS 3.3. Successful exploitation allows remote attackers to disclose sensitive information and requires the target to open a malicious file or page. The advisory was published by the Zero Day Initiative on August 24, 2026.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-57253

PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization

PLC-DPO corrects noisy preference labels during DPO by routing each pair as clean, flip, or tie using calibrated policy-reference margins.

PLC-DPO addresses reversed, weak, or ambiguous preference labels in Direct Preference Optimization by using the calibrated policy-reference margin as online evidence to route each pair's training signal as clean, flip, or tie. This actively corrects supervision direction and strength rather than only filtering suspicious examples. Across 57 dataset-model-benchmark cells, PLC-DPO achieves the best mean win rate of 60.5 versus 55.5 for the next-best method. Injected-noise and tie stress tests plus human disagreement analysis show the routing stays stable and distinguishes flipped from weakly directional pairs.

Hugging Face daily papers · 17d agoAI research

PIA-Bench: Towards Automated Privacy Impact Assessment with Large Language Models

Researchers release PIA-Bench, the first open benchmark evaluating how accurately LLMs can automate privacy impact assessments using 73 curated federal PIAs.

PIA-Bench is the first open benchmark for evaluating large language models on real-world privacy impact assessments (PIAs). The authors audited 499 expert-authored PIAs published by US federal agencies and curated 73 structured PIAs comprising 451 privacy risk items and 831 mitigation items. Off-the-shelf LLMs were found to produce meaningful assessments while identifying clear avenues for improvement. The paper calls for domain-specific LLM agent workflows, accountable LLM infrastructure, and new quality standards for PIAs.

arXiv cs.CR · 5d agoResearch1

ZDI-26-655: PAPPL Printer IPP Processing Stack-based Buffer Overflow Local Privilege Escalation Vulnerability

ZDI-26-655: Stack-based buffer overflow in PAPPL printer IPP processing enables local privilege escalation, rated CVSS 7.8.

The Zero Day Initiative published advisory ZDI-26-655 for PAPPL. A stack-based buffer overflow in printer IPP processing allows local attackers to escalate privileges after obtaining low-privileged code execution. ZDI assigned a CVSS 7.8 rating. No CVE identifier was listed in the advisory text.

ZDI Published Advisories · 6d agoAdvisory 2 sources1

Domain-Specific Hallucination Detection in Large Language Models

A multi-signal pipeline detects LLM hallucinations, reaching F1 0.915 on HaluEval and cutting Qwen2.5-0.5B hallucination rates from 85.5% to 37.7% via DPO.

The paper presents a hallucination detection pipeline combining fine-tuned DeBERTa-v3 classification, Monte Carlo Dropout uncertainty, and temperature-scaled calibration. It achieves F1 0.915 and AUROC 0.977 on general-domain HaluEval tasks, with MC Dropout inference raising accuracy to 93.2%. Applying DPO to a Qwen2.5-0.5B generator reduces its hallucination rate from 85.5% to 37.7%, while cross-domain evaluation shows poor general-domain transfer to SciFact (F1 0.52) and PubMedBERT fine-tuning as the strongest adaptation (F1 0.63).

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI research1

Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD

A 302-participant study finds engagement-optimized short-form video recommenders cause disproportionate time blindness and distress for users with ADHD.

Researchers ran a stratified Prolific study with 302 participants comparing short-form video recommendation experiences with and without ADHD. Participants with ADHD reported significantly higher time blindness, post-usage regret, and emotional distress despite perceiving recommendations as similarly relevant. The paper proposes neurodiversity-aware, human-centered design interventions to mitigate these algorithmic harms.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research

ZDI-26-601: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerability

Foxit PDF Reader has a use-after-free vulnerability (CVE-2026-13129, CVSS 3.3) allowing sensitive information disclosure when a user opens malicious content.

ZDI-26-601 describes a use-after-free vulnerability in the annotation feature of Foxit PDF Reader, tracked as CVE-2026-13129 with a CVSS score of 3.3. Successful exploitation allows remote attackers to disclose sensitive information, 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.

ZDI Published Advisories · 23d agoVulnerabilityCVE-2026-13129

ZDI-26-602: Foxit PDF Reader Doc Object Use-After-Free Remote Code Execution Vulnerability

ZDI disclosed a use-after-free in Foxit PDF Reader (CVE-2026-13128) enabling remote code execution when a user opens a malicious file.

Zero Day Initiative advisory ZDI-26-602 describes a use-after-free flaw in Foxit PDF Reader's document object handling. Exploitation yields arbitrary code execution but requires the target to open a malicious page or file. ZDI assigned CVSS 7.8 and CVE-2026-13128. The advisory does not report active exploitation.

ZDI Published Advisories · 23d agoVulnerabilityCVE-2026-13128

ZDI-26-598: Foxit PDF Reader AcroForm Use-After-Free Remote Code Execution Vulnerability

Foxit PDF Reader AcroForm use-after-free (CVE-2026-57242, CVSS 7.8) permits remote code execution through malicious PDF files or pages.

ZDI-26-598 details a use-after-free in the AcroForm component of Foxit PDF Reader, tracked as CVE-2026-57242 and rated CVSS 7.8. A remote attacker can execute arbitrary code if the target opens a malicious file or visits a malicious page. The advisory was published by the Zero Day Initiative on August 24, 2026.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-57242

ZDI-26-599: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerability

ZDI published advisory ZDI-26-599 for a use-after-free information disclosure flaw (CVE-2026-57238, CVSS 3.3) in Foxit PDF Reader requiring user interaction.

The Zero Day Initiative released advisory ZDI-26-599 describing a use-after-free vulnerability in Foxit PDF Reader's annotation handling. The flaw allows remote attackers to disclose sensitive information when a target opens a malicious file or visits a malicious page. ZDI rated the issue CVSS 3.3 and assigned CVE-2026-57238.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-57238

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.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-13126

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.

ZDI Published Advisories · 23d agoVulnerabilityCVE-2026-13127