Search: “pixel-11”

Pixel Modem Zero-Day Exploited in Targeted Attacks

Google patched Pixel modem zero-day CVE-2026-58704, a zero-click permission bypass enabling remote privilege escalation, exploited in targeted attacks.

CVE-2026-58704 is a high-severity logic error in the Pixel cellular modem allowing remote (proximal/adjacent) escalation of privilege with no user interaction or additional execution privileges. Google reports limited, targeted exploitation but has not attributed it; the zero-click modem nature suggests commercial spyware or state-sponsored actors. The September Pixel update also fixes more than 100 other Pixel-specific vulnerabilities, nearly 50 of them critical, enabling RCE or privilege escalation.

SecurityWeek·updated 17:56 UTC · 29m ago·first 13:10 UTC · 5h agoExploit / PoC in the wild 8 sourcesCVE-2026-58704

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.

ZDI Published Advisories·Sep 10, 05:00 UTC · 6d agoVulnerability 3 sourcesCVE-2026-75771

CISA Adds One Known Exploited Vulnerability to Catalog

CISA added actively exploited Google Pixel improper authorization flaw CVE-2026-58704 to its KEV catalog, mandating federal remediation.

CISA added CVE-2026-58704, an improper authorization vulnerability in Google Pixel devices, to the Known Exploited Vulnerabilities Catalog based on evidence of active exploitation. Under BOD 26-04, Federal Civilian Executive Branch agencies must prioritize remediation of KEV-listed vulnerabilities on exposed assets. CISA urges all organizations to prioritize patching KEV entries.

CISA Advisories·updated 13:57 UTC · 4h ago·first 12:00 UTC · 6h agoExploit / PoC in the wild 17 sourcesCVE-2026-58704

The latest AI news we announced in August 2026

Google's August 2026 AI recap includes launches of Gemini 3.7 Flash, Gemini 3.5 Transcribe, and the Pixel 11 series, plus 1 billion Gemini users.

Google's monthly recap covers the Gemini 3.7 Flash workhorse model for coding and agents, released three weeks after 3.6 Flash at half its per-million-token cost, and the Gemini app surpassing 1 billion monthly users. The Pixel 11 series launched with the Tensor G6 chip running Gemini Nano, alongside Gemini 3.5 Transcribe for real-time speech-to-text and Gemini Omni 1.1 Flash for studio-quality video generation. Other announcements include a free year of Google AI for college students, Gemma's 1 billion downloads, and AI weather forecasts for aviation contrail reduction.

Google · AI·Sep 1, 20:45 UTC · 14d agoAI industry

Forgery of C2PA on a Pixel 10

Researcher forged a Google Pixel 10 C2PA content credential with genuine signatures, showing root-level attackers can fake photo provenance.

A Hacker Factor blog post demonstrates an AI-generated 'unicorn glitter milk' news photo carrying a valid, cryptographically signed C2PA manifest traceable to Google's Pixel camera certificate chain, passing validation in Adobe Inspect and the CAI Verify tool with a verified timestamp. The author, working with UMBC's PASAWG working group, reported to Google and C2PA in November 2025 that root access on a Pixel device could sign arbitrary images as camera captures; after 90 days without resolution, details were published. The finding undermines C2PA Assurance Level 2 claims made for Pixel 10 Content Credentials.

Lobsters · security·13:24 UTC · 5h agoResearch

Get closer to the game with Gemini and Pixel

Google's Gemini and Pixel partner with five global football clubs to add AI-powered features to the matchday fan experience.

Google announced partnerships between its Gemini AI and Pixel smartphone lines and five global football clubs. The collaboration aims to elevate the fan matchday experience through AI and smartphone technology. The announcement is primarily a consumer marketing effort rather than a security-relevant development.

Google · AI·Aug 17, 08:00 UTC · Aug 17, 2026AI industry

Try Google Pics: Easy image creation and editing in Google Workspace

Google rolls out Pics, a Nano Banana-based image creation and editing tool, to Workspace subscribers with integrations in Docs, Slides, and Drive.

Google Pics, built on the Nano Banana image generation model, is rolling out to Google AI Pro and Ultra subscribers and most Workspace business customers. Features include object segmentation, in-image text editing and translation, collaboration, and multiple generations per prompt. Integrations launched in Docs and Slides, with Drive support planned in the coming weeks.

Google · AI·Sep 1, 16:00 UTC · 15d agoAI industry

ZDI-26-658: Adobe Acrobat Pro DC JPEG Parsing Integer Overflow Remote Code Execution Vulnerability

ZDI discloses CVE-2026-81987, an integer overflow in Adobe Acrobat Pro DC JPEG parsing enabling remote code execution with CVSS 7.8.

The Zero Day Initiative published ZDI-26-658 covering an integer overflow in Adobe Acrobat Pro DC's parsing of JPEG files. Successful exploitation allows arbitrary code execution but requires user interaction, such as opening a malicious file or visiting a malicious page. ZDI assigned a CVSS score of 7.8 and tracked the flaw as CVE-2026-81987.

ZDI Published Advisories·Sep 10, 05:00 UTC · 6d agoAdvisory 19 sourcesCVE-2026-81987

The Pelican comparison grid for Astra is pretty interesting

Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.

Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.

Simon Willison·Sep 4, 23:59 UTC · 11d agoAI research

PEEP: A Browser RAT Posing as a Chrome Extension

SOCRadar's STRU analyzed PEEP, an emerging Chromium-based RAT disguised as a Chrome extension enabling post-exploitation control of browsers.

SOCRadar's Threat Research Unit (STRU) identified and analyzed PEEP, a Chromium-based post-exploitation toolkit distributed as a browser extension. PEEP provides RAT-style capabilities while posing as a legitimate Chrome extension. It is assessed as an emerging threat worth monitoring by defenders.

SOCRadar·Sep 4, 09:50 UTC · 12d agoMalware

PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

PIDS-Bench shows prompt-injection detectors scoring F1 above 0.98 still misclassify about one-third of external benign security-adjacent prompts, revealing provenance-sensitive over-defense.

PIDS-Bench is a frozen multi-axis benchmark that jointly evaluates prompt-injection detectors on attack detection and benign false-positive behavior at fixed thresholds, spanning in-distribution inputs, hard-benign prompts, obfuscated attacks, and domain/structural distribution shifts. It evaluates seven detectors plus a rule-based lower-bound reference. A detector exceeding F1 = 0.98 on held-out data still misclassifies roughly one-third of an externally-sourced benign security-adjacent subset, and no internal detector reaches F1 >= 0.95 with hard-benign FPR <= 0.10 on the stress distribution. Hard-negative augmentation nearly eliminates over-defense on curated stress inputs but leaves it intact on externally-sourced prompts, a pattern termed provenance-sensitive over-defense.

arXiv cs.CR·Sep 14, 04:28 UTC · 2d agoAI safety & security

ChatGPT Images 2.5: Faster, more precise, but not the same for everyone

OpenAI released GPT-Image-2.5 (Flare and Sunburst variants), cutting image generation latency up to 50% and improving multi-round edit consistency.

OpenAI launched GPT-Image-2.5 in two API variants: Flare, the faster default with higher quality than GPT-Image-2 at up to 50% lower latency, and Sunburst, built for precise multi-round edits. Both cost $8 per million input and $30 per million output tokens, with new xhigh and max quality tiers; a max-tier 1024x1024 image runs roughly $0.21. Testing found edit consistency strong in ChatGPT Work but inconsistent in Chat, and OpenAI has not documented how ChatGPT routes users between the models.

The Decoder·Sep 9, 12:17 UTC · 7d agoModel release

Four Spy Groups Used the Same Chrome and Windows Exploit Kit Within a Week

Proofpoint links four espionage clusters, including China's APT31, using shared exploit kit BlueMoon chaining Chrome V8 and Windows ALPC zero-days.

Proofpoint reports a previously undocumented exploit kit, BlueMoon, chains Chrome V8 type confusion CVE-2026-85046 with an unassigned V8 sandbox escape and Windows ALPC heap overflow CVE-2026-85880 to achieve code execution and local privilege escalation. APT31 first used it on August 28, 2026 against US NGOs, mining, and commodity trading firms, deploying the GemStone browser backdoor disguised as a Google Gemini extension via the GhostChrome-X integrity bypass. UNK_LateNight, UNK_DoubleCheck, and UNK_QuietRacket followed on September 2-3, targeting US aerospace, Vietnamese manufacturing, and Indonesian/Singaporean sectors with ShadowPad and sideloaded Rust and .NET payloads. Both V8 flaws were patch-gap zero-days, and verbose code suggests possible AI-assisted development.

The Hacker News·Sep 9, 16:34 UTC · 7d agoThreat actor in the wild 2 sourcesCVE-2026-85046CVE-2026-858801

One Extension Could Hijack AI Assistants Across Chrome, Comet, Edge, Opera Neon and Claude

Researchers showed a single browser extension could hijack AI agents in Chrome, Edge, Comet, Opera Neon and Claude in Chrome, earning $20,000 in bounties.

Forever Security demonstrated that a browser extension with two common permissions could seize the trusted page controlling built-in AI assistants in five Chromium-based products and drive the agent, read local files, or access the camera. Chrome's flaw was fixed as CVE-2026-0628 (CVSS 8.8) in Chrome 143.0.7499.192, and Microsoft fixed CVE-2026-55945 (CVSS 4.2) in Edge 150.0.4078.48. Perplexity Comet was the worst case: a hijacked agent could read any file, leak browsing history, take screenshots, and act as the user via an unsecured test subdomain. All attacks require a malicious extension already installed; no in-the-wild exploitation or KEV listing was reported as of September 16, 2026.

The Hacker News·14:36 UTC · 3h agoAI safety & securityCVE-2026-0628CVE-2026-55945

FlashVector: Agent for Hierarchical Model Serving Stack Optimization

FlashVector agent optimizes all layers of Unity's ad-serving stack, delivering up to 2x model-server throughput and 1.98x latency speedup in production.

FlashVector is an agentic system that optimizes performance across GPU kernels, ML framework computation graphs, model servers, and on-demand feature processing. Deployed in Unity's Vector advertising platform, it achieved up to 2x model-server throughput increase, 1.98x latency speedup, and 1.6x feature-store throughput gain. Optimizations spanned NVIDIA Triton's C++ codebase and the Python feature transformation service, demonstrating extensibility beyond single-kernel tuning.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:27 UTC · 1d agoAI research

Perplexity Details Its GPU Embedding Stack: How Ivy, Tulip and ROSE Serve pplx-embed

Perplexity details its GPU embedding serving stack (Ivy, Tulip, ROSE), which reuses LLM prefill/decode kernels, CUDA graphs, and LazyTensors to cut launch overhead.

Perplexity engineers published a deep dive on the serving infrastructure behind pplx-embed, used across Perplexity Search and its API platform. The stack comprises Ivy (Rust HTTP gateway), Tulip (gRPC scheduling and batching), and ROSE (Runtime-Optimized Serving Engine), which reuses LLM prefill and decode kernels rather than running a separate embedding engine. Optimizations include whole-model CUDA graphs with lazy capture and a LazyTensor abstraction that overlaps CPU batch preparation with in-flight GPU work. Benchmarks are reported against vLLM v0.22.0 in BF16, with FlashAttention 4 generally fastest but FlashInfer 3 winning on Qwen-based models at very long sequence lengths.

MarkTechPost·Sep 6, 03:20 UTC · 10d agoAI tools & infra1

Android security advisory – September 2026 monthly rollup (AV26-920)

Canadian Cyber Centre relays Android's September 2026 security bulletin, urging users and administrators to apply device updates.

The Canadian Centre for Cyber Security issued advisory AV26-920 pointing to the Android security bulletin published September 8, 2026. Users and administrators are encouraged to review the linked bulletin and apply necessary updates as they become available. The alert itself lists no specific CVEs, affected components, or exploitation details.

Canadian Centre for Cyber Security·Sep 14, 17:27 UTC · 2d agoAdvisory

Android Security Update September 2026 – Fix for Critical Flaws that Enable RCE Attacks

Google's September 2026 Android bulletin fixes over 30 critical flaws, including no-interaction system RCEs, a TIPC kernel RCE and a Qualcomm closed-source bug

Google's Android Security Bulletin for September 2026 (patch levels 2026-09-01 and 2026-09-05) fixes numerous critical System remote code execution flaws, including CVE-2026-28604, CVE-2026-28618, CVE-2026-28639, CVE-2026-28662, CVE-2026-49882, CVE-2026-49884, CVE-2026-49919 and CVE-2026-49921, none requiring user interaction or additional privileges. It also addresses critical kernel issues including a TIPC RCE (CVE-2026-52993) and elevation-of-privilege flaws in NFC and protected KVM, plus a critical Qualcomm closed-source component flaw (CVE-2026-25289). Affected versions span Android 14 through 17; the 2026-09-05 patch level extends coverage to Android TV and chipset components, with high-severity fixes for Arm Mali, PowerVR, MediaTek, Unisoc and Qualcomm components.

Cyber Security News·Sep 9, 13:44 UTC · 7d agoAdvisoryCVE-2026-28666CVE-2026-55273CVE-2026-49932+27 CVEs

SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMs

SAFIRE, an 83K-image fire and smoke benchmark, shows open-source multimodal LLMs average only 61.9% accuracy on safety-critical fire reasoning.

SAFIRE is a large-scale benchmark for fire-smoke understanding in multimodal LLMs with 83K captioned images across 20 scenarios and 193K multiple-choice VQA questions spanning 10 evaluation dimensions from perception to higher-order reasoning. Annotations were built via a GPT-5.4-assisted multi-stage pipeline with MLLM majority voting. Ten open-source MLLMs (8B-38B) average 61.9% accuracy, exposing major gaps in safety-critical reasoning. Adapting vision encoders on 7% of the domain data raises fire-scene classification from 20.1% to 64.5%.

arXiv cs.AI / cs.LG / cs.CL·Sep 7, 17:59 UTC · 9d agoAI research

Tenable broadens AI visibility across major LLMs and AI tools

Help Net Security·Aug 5, 00:00 UTC · Aug 5, 2026Policy & legal1

Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning

CoTS temperature scaling cuts test-time prompt tuning's expected calibration error from 11.90% to 5.38% on ImageNet variants while raising accuracy.

The paper proposes CoTS, a post-hoc calibration method that applies temperature scaling to minimize the confidence gap between test-time-adapted and zero-shot predictions. A weak-strong ensemble variant, E-CoTS, further exploits multiple test-time augmentations to boost accuracy while maintaining calibration. E-CoTS reduces average expected calibration error from 11.90% to 5.38% on ImageNet variants while increasing accuracy from 60.74% to 62.95%.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:25 UTC · 1d agoAI research

Introducing ChatGPT Images 2.5

OpenAI launches ChatGPT Images 2.5 with two API variants improving multi-turn instruction following and subject-preserving edits.

OpenAI released ChatGPT Images 2.5, exposing two API model IDs: gpt-image-2.5-sunburst for precision editing and gpt-image-2.5-flare for fast everyday generation. The company says its image models have generated more than 3 billion images across ChatGPT Images and the GPT-Image API. The update improves multi-turn instruction following, response speed, and preservation of subjects from reference photos.

Simon Willison·Sep 8, 22:46 UTC · 7d agoModel release