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ZDI-26-659: Adobe Acrobat Reader DC JPEG2000 File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability

ZDI discloses CVE-2026-80160, an out-of-bounds read in Adobe Acrobat Reader DC JPEG2000 parsing enabling sensitive information disclosure with CVSS 3.3.

The Zero Day Initiative published ZDI-26-659 covering an out-of-bounds read in Adobe Acrobat Reader DC's parsing of JPEG2000 files. Successful exploitation allows disclosure of sensitive information and requires user interaction, such as opening a malicious file or visiting a malicious page. ZDI rated the issue CVSS 3.3 and tracked it as CVE-2026-80160.

ZDI-26-677: Adobe Photoshop DCM JPEG-LS Image Parsing Integer Overflow Remote Code Execution Vulnerability

ZDI disclosed CVE-2026-75771, an integer overflow in Adobe Photoshop's DCM JPEG-LS image parsing that enables remote code execution with user interaction.

The Zero Day Initiative published advisory ZDI-26-677 for an integer overflow in Adobe Photoshop's parsing of DCM JPEG-LS images. A remote attacker could execute arbitrary code if the target opens a malicious file or visits a malicious page. ZDI assigned a CVSS rating of 7.8. No exploitation is reported.

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

Vidu S2 delivers real-time 720p interactive avatar generation plus real-time video editing with style, clothing, character, and background replacement.

Vidu S2 comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. S2-Avatar supports real-time 720p generation, dynamic references updatable at any moment, and stronger instruction following such as dancing, while S2-Editing performs real-time style rendering, clothing replacement, character replacement, and background replacement. The work also explores real-time spatial video generation for both models, reports outperforming all baselines, and offers a playable online demo at vidu.com.

Hugging Face daily papers · 7d agoModel release

USN-8716-2: FFmpeg vulnerabilities

Ubuntu issued USN-8716-2 fixing FFmpeg VobSub, Vulkan HEVC, and NVDEC decoder flaws that could allow denial of service or code execution.

USN-8716-2 provides the Ubuntu 26.04 LTS counterpart to the FFmpeg fixes in USN-8716-1. Crafted media files could cause denial of service or arbitrary code execution through the VobSub subtitle demuxer (CVE-2026-64830), the Vulkan HEVC hardware decoder (CVE-2026-64831), and the NVDEC video decoder path.

.blend URL Viewer

Simon Willison demos a .blend URL viewer built with GPT-6 Astra in Codex and ChatGPT Images 2.5 generating Blender models.

Simon Willison used ChatGPT Images 2.5 to generate a Faberge egg concept image themed after the TV show Pluribus, then had Codex running GPT-6 Astra (high) execute a Blender local skill to build a 3D model from it. He published the result as a .blend URL viewer tool and continues experimenting with agentic Blender workflows. The post is a hands-on demo of AI-driven creative tooling rather than a security or release announcement.

Simon Willison · 6d agoAI tools & infra

ZDI-26-633: GIMP PSP File Parsing Integer Overflow Remote Code Execution Vulnerability

ZDI disclosed a CVSS 7.8 integer overflow in GIMP's PSP file parser that enables remote code execution when users open malicious files.

ZDI published advisory ZDI-26-633 for an integer overflow in GIMP's parsing of PSP image files. Remote attackers can execute arbitrary code, but exploitation requires user interaction such as opening a malicious file. ZDI assigned CVSS 7.8 and the issue is tracked as CVE-2026-4153.

KlueセキュリティインシデントとRecorded Futureへの影響

Recorded Future disclosed a Klue incident that exposed some Salesforce business data, including contacts and emails, via a compromised OAuth token.

Recorded Future disclosed that unauthorized activity in marketing vendor Klue's integration layer, starting June 12, 2026 and contained the same day, affected some of its Salesforce data through a compromised OAuth token in the Salesforce-Klue integration. Impacted fields are limited to business data such as customer contact names, email addresses, and possibly business contract information. No evidence indicates Recorded Future's core platform, Intelligence Graph, internal databases, or customer platform data were accessed. The company revoked all relevant OAuth tokens, coordinated with Salesforce and law enforcement, and began reviewing all third-party Salesforce integrations.

Recorded Future · Aug 12, 2026Data breach

USN-8750-1: FFmpeg vulnerabilities

Ubuntu USN-8750-1 fixes multiple FFmpeg memory-handling flaws that allow denial of service via crafted files.

Ubuntu Security Notice USN-8750-1 patches several FFmpeg vulnerabilities related to incorrect memory operations, reported by Seung Min Shin, Xinghang Lv, and others. If a user or automated system is tricked into opening a specially crafted file, an attacker could cause a denial of service. Affected CVEs include CVE-2026-12706, CVE-2026-30999, and CVE-2026-58049.

A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth

Princeton researcher Yifan Zhang proposes Recurrent Looped Transformer, carrying full decoder state across every token for unbounded temporal depth.

Yifan Zhang's technical report defines the Recurrent Looped Transformer (RLT), pairing a causal encoder with a recurrent decoder whose final output and layerwise sliding-window attention cache carry into every subsequent token with no prompt-response boundary reset. The reference configuration ties 48 encoder and 48 decoder layers, executing 96 logical blocks per token while the state path grows to 48t blocks after t tokens at fixed per-token compute. The report details RL replay contracts that rebuild all states under current parameters and exact prefix snapshots for multi-turn serving, but explicitly reports no measured efficiency, reasoning quality, or scaling results.

MarkTechPost · 3d agoAI research1

USN-8739-2: ImageMagick vulnerabilities

Ubuntu releases USN-8739-2, extending ImageMagick fixes for four CVEs including possible arbitrary code execution to Ubuntu 24.04 LTS.

USN-8739-2 provides the ImageMagick fixes from USN-8739-1 for Ubuntu 24.04 LTS. The flaws stem from incorrect handling of certain images that could allow an attacker to cause a denial of service or possibly execute arbitrary code. The affected CVEs are CVE-2026-56366, CVE-2026-56368, CVE-2026-56371, and CVE-2026-56373.

ZDI-26-553: OriginLab Origin Viewer OGW File Parsing Memory Corruption Remote Code Execution Vulnerability

ZDI discloses OriginLab Origin Viewer OGW file parsing memory corruption RCE (CVE-2026-18294, CVSS 7.8) exploitable via malicious file or page.

ZDI advisory ZDI-26-553 describes a memory corruption vulnerability in OriginLab Origin Viewer's parsing of OGW files, tracked as CVE-2026-18294 with a CVSS score of 7.8. Remote code execution is possible but requires user interaction, meaning the target must open a malicious file or visit a malicious page.

ZDI Published Advisories · Aug 11, 2026VulnerabilityCVE-2026-18294

ZDI-26-550: OriginLab OriginPro OGW File Parsing Memory Corruption Remote Code Execution Vulnerability

ZDI discloses a memory corruption flaw in OriginLab OriginPro OGW file parsing enabling remote code execution via malicious files (CVE-2026-18291, CVSS 7.8).

ZDI advisory ZDI-26-550 describes a memory corruption vulnerability in OriginLab OriginPro OGW file parsing that allows remote attackers to execute arbitrary code. User interaction is required: the target must visit a malicious page or open a malicious file. The flaw has a CVSS rating of 7.8 and is assigned CVE-2026-18291.

ZDI Published Advisories · Aug 11, 2026VulnerabilityCVE-2026-18291

Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection

Researchers unveil Repeat-After-Me, a black-box visual prompt injection achieving over 80% success on Qwen3.6-27B and 47% on GPT-5.5.

Researchers present Repeat-After-Me, a black-box adaptive visual prompt injection that induces frontier VLMs to reveal PII or make malicious tool calls via injected images. It exceeds 80% attack success rate on Qwen3.6-27B and 47% on GPT-5.5 even when the benign user prompt is unrelated and does not authorize the injected task. In a real-world OpenClaw Discord deployment, a minimally injected image can overwrite TOOLS.md, enabling later remote code execution and secret exfiltration.

arXiv cs.CR · 13d agoAI safety & security

H Company Releases NeoMME: A Family of 260M and 800M Single-Tower Multimodal Encoders That Drop the Vision Tower and Causal Decoder

H Company released NeoMME, 260M/800M single-tower multimodal encoders matching 3.75B ColQwen2.5 on ViDoRe v3 while being 14.4x smaller, under Apache 2.0.

H Company released NeoMME, a family of 262,937,906- and 793,715,032-parameter bidirectional encoders that process text and raw 32x32 image patches in a single tower, pretrained via masked diffusion and released under Apache 2.0 with day-zero Hugging Face Transformers support. NeoMME-Retriever-260M reaches 0.523 nDCG@10 on ViDoRe v3, matching 3.75B-parameter ColQwen2.5 while being 14.4x smaller; the 800M model scores 0.556. Hierarchical token pooling with int8 and binary quantization shrinks late-interaction indexes from roughly 1.5 MB to 6 kB per page while retaining 95.19% of nDCG@10; text-only BEIR retrieval remains a weak spot.

MarkTechPost · 10d agoAI research

Multiple VLC Media Player Vulnerabilities Allow Attackers to Corrupt or Read Heap Memory

Two VLC 3.0 flaws, CVE-2026-56711 (heap corruption, CVSS 8.6) and CVE-2026-73324 (memory leak), let crafted PNGs or RTSP playlists corrupt memory or leak data.

Hap Security researcher Fabian Wahle disclosed two VLC Media Player flaws on September 9, 2026, affecting versions 3.0.0 through 3.0.23. CVE-2026-56711 (CVSS 8.6) is an integer overflow and out-of-bounds write in the AllocatePicture function, exploitable via a crafted PNG with oversized IHDR dimensions, potentially causing crashes or code execution. CVE-2026-73324 (CVSS 6.9) lets a malicious RTSP server read adjacent heap memory through an unterminated 4096-byte response line, triggerable via a realrtsp playlist URL. No patched release is confirmed yet; users should avoid untrusted media files, playlists, and RTSP streams.

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

The 2026 PNPL competition releases LibriBrain100, a MEG speech dataset with 32 extra subjects, targeting word classification and cross-subject BCI generalization.

The 2025 PNPL competition on non-invasive speech decoding from MEG achieved F1-macro scores of 95.6% for speech detection and 73.6% for phoneme classification, built on LibriBrain's ~50 hours of single-subject data. The 2026 edition extends this with LibriBrain100, adding 32 subjects (~40 minutes each) plus ~80 hours of within-subject data. Two tracks target within-subject word classification at scale and cross-subject generalization with subject-specific fine-tuning shrinking from ~40 to ~20 to ~10 minutes, aiming at clinically feasible non-invasive BCIs for people with profound paralysis.

Hugging Face daily papers · 14d agoAI research

USN-8738-1: FFmpeg vulnerabilities

Ubuntu's USN-8738-1 fixes multiple FFmpeg vulnerabilities allowing denial of service, arbitrary code execution, and sensitive information exposure.

Ubuntu Security Notice USN-8738-1 addresses several FFmpeg flaws. CVE-2026-66036 involves mishandled video frames in the hqdn3d filter, allowing denial of service or arbitrary code execution. CVE-2026-66038, found by Adrian Junge, leaks sensitive information via compressed video files, and CVE-2026-66039 allows denial of service or code execution through crafted audio files. Additional subtitle-file handling flaws were also fixed.

Ubuntu Security Noticesupdated · 8d agofirst · 8d agoAdvisory 2 sourcesCVE-2026-66036CVE-2026-66038CVE-2026-66039

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.

Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.

arXiv cs.AI / cs.LG / cs.CL · 8d agoAI research1

ZDI-26-638: Oracle Outside In Technology WPS File Parsing Memory Corruption Remote Code Execution Vulnerability

ZDI disclosed memory corruption in Oracle Outside In Technology's WPS file parsing (CVE-2026-60414) enabling user-triggered remote code execution.

Zero Day Initiative published ZDI-26-638, a CVSS 7.8 memory corruption vulnerability in WPS file parsing within Oracle Outside In Technology. Remote attackers can execute arbitrary code on affected installations by convincing the target to visit a malicious page or open a malicious file, so user interaction is required. The issue is tracked as CVE-2026-60414. The advisory reports no exploitation.

PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control

PhysStream autoregressive video model enables physics-grounded mid-generation motion control, cutting trajectory error 12% and FVMD 33% versus strongest baselines.

PhysStream is an autoregressive image-to-video model that incorporates structured scene memory—positional maps and object tracking maps derived online from previously generated frames—and supports fine-grained motion control via sparse velocity-increment signals encoding physical quantities. Training proceeds in two stages: a bidirectional model finetuned with motion-control conditioning, then a causal autoregressive model with scene memory. It reduces motion distribution distance (FVMD) by 33% and trajectory error by 12% over the strongest baselines, and human evaluators prefer it in over 85% of in-the-wild comparisons.

ZDI-26-684: Linux Kernel KSMBD Query Directory Request Race Condition Remote Code Execution Vulnerability

ZDI discloses CVE-2026-64397, a CVSS 9.0 unauthenticated remote code execution race condition in Linux Kernel KSMBD.

ZDI-26-684 describes a race condition in the Linux Kernel KSMBD subsystem's Query Directory Request handling that allows unauthenticated remote attackers to execute arbitrary code. Only systems with KSMBD enabled are vulnerable. ZDI assigned a CVSS rating of 9.0 and CVE-2026-64397.