Search: “vercel”

$1 Million Sandbox Challenge Uncovers Linux Kernel Flaws

Vercel's $1M sandbox challenge surfaced two Linux kernel networking defects—one leaking host kernel memory, one crashing hosts—with CVEs pending.

Vercel ran a two-week, $1 million sandbox escape challenge (Aug 18–Sep 1) on its Firecracker-based microVM sandbox, receiving 1,285 reports and committing ~$325k in payouts (1 Critical, 7 High, 15 Medium, 49 Low validated so far). No attacker accessed real customer data. The most important filing found two independent Linux kernel networking stack defects—one leaks host kernel memory, the other deterministically crashes the host—with wide implications for cloud providers isolating workloads via the same kernel layer. Fixes are under private review with CVEs pending; Vercel also plans to open-source its agentic report-triage agent built on the Eve framework running Kimi K3.

SecurityWeek·Sep 15, 16:00 UTC · 21h agoVulnerability1

US Finance Under Phishing Pressure: What the SOC Data Reveals?

ANY.RUN SOC telemetry shows escalating phishing campaigns against US finance, including Vercel-hosted RMM attacks abusing legitimate services.

ANY.RUN analyzed SOC telemetry data on phishing targeting the US financial sector, concluding that the scale and security impact should not be understated. The analysis highlights modern campaigns such as Vercel-hosted attacks that deliver remote monitoring and management (RMM) tools. It notes that attackers increasingly abuse legitimate services and everyday workflow tools to deliver phishing, making detection harder for SOC teams.

ANY.RUN·Aug 26, 09:17 UTC · 21d agoPhishing & fraud in the wild

Hackers Weaponize AI Safety Guardrails to Hide Malware From LLM-Powered Security Scanners

ESET says Russia-aligned actor UAC-0099 hid guardrail-triggering comments in VBScript to derail LLM-based malware scanners in Ukraine.

ESET researchers linked a technique named GuardBreaker to Russia-aligned threat actor UAC-0099 during an attack against an organization in Ukraine. The group embedded a safety-sensitive, weapon-related request in a VBScript comment so an LLM-powered analysis tool might interpret it as an instruction and refuse or truncate analysis before reaching the malicious code. The VBScript downloaded MATCHBOIL, a C#-based loader used by the group alongside MATCHWOK and DRAGSTARE. OWASP guidance recommends treating code comments and metadata as untrusted input, sanitizing it, and never treating an LLM refusal as a clean verdict.

GBHackers·updated Sep 11, 14:32 UTC · 4d ago·first Sep 11, 10:51 UTC · 5d agoThreat actor in the wild 3 sources1

AWS, Google, and Vercel Agent Flaws Let Attackers Trigger Tools Without Running the Model

The Hacker News·Aug 6, 09:25 UTC · Aug 6, 2026VulnerabilityCVE-2026-18830CVE-2026-18236CVE-2026-64650+1 CVEs1

Next.js Patches Critical AVIF and Windows Flaws Enabling Unauthenticated RCE

Vercel patches two critical Next.js unauthenticated RCE flaws: a libheif AVIF heap overflow (CVSS 9.5) and a Windows path traversal (CVE-2026-75604).

Vercel patched two critical Next.js flaws enabling unauthenticated remote code execution: a heap buffer overflow in libheif's AVIF image scaling (GHSA-2xp9-vwfh-vxw4, CVSS v4 9.5) and a Windows path traversal (CVE-2026-75604, CVSS 9.0). The AVIF flaw affects only sites explicitly enabling AVIF optimization and overwrites roughly 16,384 bytes past the buffer; the path traversal affects Windows-hosted Next.js deployments on versions 13.4-15.5.23 and 16.0-16.3.2. Fixes shipped in Next.js 15.5.24 and 16.3.3 on August 25, 2026, with the AVIF researchers releasing a Python PoC demonstrating RCE on multiple applications. No exploitation had been reported as of August 27, 2026.

The Hacker News·Aug 27, 15:16 UTC · 19d agoVulnerabilityCVE-2026-75604

Veeam Released Patches for Critical Vulnerability (CVE-2026-65641)

Veeam patched critical CVE-2026-65641 (CVSS 9.3) in Veeam ONE, exploitable by unauthenticated network attackers to coerce SMB authentication from the service account.

Veeam released patches for its Veeam ONE monitoring, reporting, and capacity planning software addressing CVE-2026-65641, rated critical with a CVSS score of 9.3. Successful exploitation allows an unauthenticated network attacker to coerce SMB authentication from the Veeam ONE service account, creating relay-style attack opportunities. Qualys ThreatPROTECT relayed the vendor advisory; administrators should apply the patches promptly. No in-the-wild exploitation is noted in the advisory.

Qualys ThreatPROTECT·Aug 31, 16:26 UTC · 15d agoVulnerabilityCVE-2026-65641

PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors

Top AI open source projects like Vercel, Astro, Flue, and tldraw are restricting external PRs and using agent-based software factories to triage, fix, and review contributions.

Several prominent AI-native open source projects are closing or limiting external pull requests, largely because submissions are often AI-generated. Vercel built a multi-agent software factory for its AI SDK (over 20 million weekly npm downloads) that now authors 25-35% of merged PRs and closes 70-80% of issues. Astro adopted similar auto-triage automation, Fred Schott created the Flue framework with automatic PR-to-issue conversion, and tldraw automatically closes external PRs.

Latent Space·Sep 1, 16:17 UTC · 14d agoAI industry

Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability

Unit 42 details the Bad Likert Judge multi-turn jailbreak that abuses LLMs' evaluation capability, raising attack success rates over 60% across six frontier models.

Palo Alto Networks Unit 42 describes the Bad Likert Judge technique, a multi-turn jailbreak that asks a target LLM to act as a Likert-scale judge scoring the harmfulness of example responses. The highest-rated example in each scale can carry harmful content, bypassing the model's internal guardrails. Testing across six state-of-the-art text-generation LLMs showed an average attack success rate increase of more than 60% versus plain attack prompts, with tested models anonymized. The technique targets edge cases rather than typical use, and the article positions the work as guidance for defenders on potential jailbreak risks.

Palo Alto Unit 42·Aug 17, 12:34 UTC · Aug 17, 2026AI safety & security

The modern attack chain: Rethinking Google Workspace security in the age of AI

Analysis of Vercel and Composio breaches shows stolen OAuth tokens, not phishing email, now open Google Workspace attacks — a path authorized AI agents follow.

The author analyzes the Vercel and Composio breaches as the same OAuth-first attack chain run twice: a stolen OAuth token, obtained via a compromised supplier, becomes the entry point rather than email. These tokens survive password resets, are hard to observe, and let attackers read Gmail and Drive data, take over accounts, and pivot laterally using stored credentials and password-reset magic links. The piece warns that authorized AI agents with overbroad OAuth grants can unintentionally traverse the same path — accessing inboxes, reading sensitive content, and exfiltrating data downstream — without any malicious actor or compromised credential.

Help Net Security·05:00 UTC · 8h agoResearch in the wild

Veeam security advisory (AV26-855)

Canada's Cyber Centre advisory AV26-855 says Veeam Backup & Replication and Veeam ONE vulnerabilities are resolved in 13.0.3 and 13.1 updates.

Advisory AV26-855, dated August 27, 2026, states that as of August 25 Veeam is affected by vulnerabilities in Backup & Replication (prior to 13.0.3 build 13.0.3.63 and prior to 13.1 build 13.1.0.411) and Veeam ONE (prior to or equal to 13.0.2.6723 and 13.1.0.7034). Fixes are documented in KB4902 (Veeam Backup & Replication 13.1) and KB4905 (Veeam ONE 13.1 Patch 0). The Cyber Centre urges users and administrators to apply the available updates. No CVE identifiers or exploitation details are given.

Canadian Centre for Cyber Security·Aug 27, 14:03 UTC · 19d agoAdvisory

Lovable CTO: The Future of SaaS Is Apps That Agents Can Use

Lovable pivots from app building to exposing app functions as agent-callable capabilities via hosted MCP servers, raising a $400M Series C at a $13.3B valuation.

Lovable CTO Fabian Hedin outlined a strategy of turning published applications into agent-accessible capabilities by exposing selected functions as tools through a hosted MCP server, usable from ChatGPT, Claude, and other MCP-compatible clients. The company reports surpassing a $500M annualized revenue run rate, more than 60 million projects created, over 900 million monthly visits to Lovable-built apps, and usage by employees at nearly two-thirds of the Fortune 500. Menlo Ventures led a $400M Series C this month alongside EQT's Scaleup Europe Fund, valuing the company at $13.3 billion. Lovable evolved from the open-source GPT Engineer tool, became a commercial product in November 2024, and now competes with platforms like Vercel in AI-generated software hosting.

Latent Space·Aug 26, 16:16 UTC · 20d agoAI industry

When LLM Decompilers Recompile More and Preserve Less

Researchers show LLM decompiler outputs can recompile yet diverge behaviorally, proposing the Decompile-Diverge fuzzing oracle to catch hidden changes.

The paper demonstrates that LLM-based decompilers can produce code that recompiles and passes all shipped tests yet diverges on other legitimate inputs—4.9% overall and up to 13% for one system—and can make disclosed vulnerabilities vanish without a visible crash. Across 300 real GitHub functions and 287 CVE-grounded functions, a refinement LLM lifted Ghidra's build rate from 75% to 90% while Matched rate fell from 74% to 62%, with up to one tenth of vulnerabilities showing Crash Absence. Decompile-Diverge detects these gaps by synthesizing drivers, growing fuzzing corpora from the reference, and rerunning decompiled code on identical inputs.

arXiv cs.CR·Sep 4, 17:16 UTC · 11d agoResearch

Phishers are hijacking legitimate cloud infrastructure

Kaspersky Securelist·Aug 4, 12:00 UTC · Aug 4, 2026Threat actor1

VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities

Introduces VEX-Bench, 75 expert-labeled real-world cases testing whether LLM agents can assess supply chain vulnerability exploitability; frontier models reach about 80% F1.

VEX-Bench is the first benchmark evaluating LLM agents on assessing whether upstream dependency vulnerabilities are exploitable in downstream projects, with 75 real-world expert-labeled cases across Python, Java, and Go mined from GitHub. Nine models across three agent harnesses were evaluated; GPT-5.5 and Claude Opus 4.6 reach approximately 80% F1 on binary vulnerability-status classification, but only GPT-5.5 surpasses 70% macro-F1 on fine-grained justification classification. The gap highlights the difficulty of moving beyond binary exploitability calls to explaining exploitability reasons, unlike prior benchmarks targeting zero-day settings.

arXiv cs.CR·Sep 7, 22:52 UTC · 8d agoResearch1

H1 2026 Malware Vulnerability Trends

Recorded Future's H1 2026 report finds 215 actively exploited CVEs, RAT dominance, NFC payment fraud, and AI-augmented but not autonomous tradecraft.

Recorded Future's Insikt Group identified 215 actively exploited CVEs in H1 2026, up 34% from 161 in H1 2025, with the most impactful flaws combining network reachability, no authentication, and code execution. AsyncRAT was the top malware family, with AsyncRAT, Cobalt Strike, XWorm, Stealc, and REMCOS remaining top-ten staples; Android NFC malware like NFCShare and NGate enabled payment card theft and ATM cash-outs. AI-enabled attacks remained additive to established tradecraft, concentrated in Levels 1-3 of Recorded Future's AIM3 maturity model, with AI-assisted vulnerability research (e.g., Claude Mythos fixing 271 Firefox bugs in Firefox 150) inflating NVD disclosure volumes 43% above the prior six-month average. The report urges defenders to prioritize remotely exploitable RCE flaws, behavioral detection, developer credential security, and third-party oversight.

Recorded Future·Sep 3, 00:00 UTC · 13d agoThreat actor in the wild1

Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation

A distillation framework compresses LLM reasoning into a 15.5M-parameter trade-up recommendation model reaching AUC 0.941 with product-type test-time training.

The paper targets trade-up recommendation, which identifies higher-quality alternatives that preserve customer purchase intent. A retrieval-augmented few-shot LLM teacher generates labels and rationales that supervise a compact embedding-pair classifier; at inference the 15.5M-parameter student uses only two precomputed 768-dimensional embeddings with no LLM calls. On 8,352 annotated pairs, label-only training scored AUC 0.912, reasoning distillation reached 0.924, and product-type test-time training lifted it to 0.941 with average precision 0.940. The distilled student is roughly 5,000x faster and 10,000x cheaper than direct LLM inference on a 100K-pair proxy catalog.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:08 UTC · 11d agoAI research

US Becomes Top Target in RMM Phishing Campaign Spanning 46 Countries

ANY.RUN linked 601 RMM-tool phishing cases across 46 countries, with the US the top target at 45% of observed activity.

A phishing campaign that tricks victims into installing legitimate remote monitoring and management (RMM) software spans 46 countries, with around 45% of observed activity targeting the United States, according to ANY.RUN. Lures include Canada Revenue Agency tax forms, UPS shipping notices, Adobe PDF pages, Social Security Administration themes and invoices, delivered through rapidly rotated Vercel, GitHub Pages and Netlify infrastructure. Researchers identified 425 kit URLs across 240 hosts, 94% of which appeared for only a single day, while stable kit indicators such as font1.woff2 and the secure.html to project/*.zip chain tie the infrastructure together.

The Hacker News·Sep 3, 11:58 UTC · 13d agoPhishing & fraud in the wild

New cPanel Flaw Lets a Hosting Account With Mail Privileges Run Code as Root

cPanel patched CVE-2026-67401, an SQL injection in EmailTrack letting an account with mail privileges run code as root on the server.

cPanel released an advisory on September 8 for CVE-2026-67401, an SQL injection in EmailTrack that allows an authenticated account holder with mail-related privileges to create files and execute code as root. All supported cPanel and WHM release lines (11.110, 11.134, 11.136, 11.138 and WP Squared 11.138.1.9) are affected, with fixed builds published for each. No public exploit or exploitation has been reported and the flaw is not yet in CISA's Known Exploited Vulnerabilities catalog. The advisory carries no CVSS score, and the CVE record had not been published as of September 9.

The Hacker News·Sep 9, 08:19 UTC · 7d agoVulnerabilityCVE-2026-67401

[AINews] OpenAI to reach AGI bar by end-2026

OpenAI chief scientist Jakub Pachocki says unreleased Astra model meets the 'Automated AI Research Intern' goal; Altman expects internal AGI declaration by December 2026.

OpenAI chief scientist Jakub Pachocki says the unreleased Astra model fulfills the September 2026 'Automated AI Research Intern' target. Sam Altman told TIME he expects OpenAI to declare AGI achieved internally by December 2026. The roundup also covers Zhipu's GLM-5.3-Flash (320B total parameters, 18B active, 1M context), Google's Gemini Omni 1.1 Flash video model topping the Text-to-Video Arena, and the $399 open-source Microduck biped robot from Pollen Robotics and Hugging Face.

Latent Space·Aug 28, 07:12 UTC · 19d agoAI industry

Homebrew 7.0.0 is out, here’s what changed for security

Homebrew 7.0.0 closes eight security advisories, including a High sudo execution bug fixed in 6.0.12, and ships brew vulns vulnerability scanning.

Homebrew 7.0.0 closes eight security advisories rated one High, two Moderate, and five Low. The High flaw let unsigned cask removal metadata execute commands with sudo (fixed in 6.0.12), while the 7.0.0 Moderate closes a LaunchServices escape that let a malicious cask execute code outside the macOS install sandbox. The release ships brew vulns, which checks installed formulae against OSV.dev, extends build attestation verification to third-party tap bottles, and replaces Bubblewrap with Landlock sandboxing on Linux.

Help Net Security·Sep 15, 00:47 UTC · 1d agoVulnerability

GPT-6 Astra: an automated AI Engineer you can hire for <$6 an hour

OpenAI launches GPT-6 Astra, a frontier model scoring 97.6% on FrontierMath and 99.9% on ARC-AGI-3, capable of autonomous AI engineering at roughly $6 per hour.

OpenAI launched GPT-6 Astra, described as its first Stargate and lightly looped frontier model, beating Fable 5.1 on many metrics and saturating the hardest FrontierMath (97.6%) and ARC-AGI-3 (99.9%) benchmarks. Latent Space tested the model with over 20 billion tokens, reporting it can train and select models, label data, deploy and debug systems, and orchestrate 20-50 parallel subagents. The authors measured about $6 per hour of agentic engineering at 33 tokens per second, with token efficiency independently confirmed by Artificial Analysis.

Latent Space·Sep 3, 21:09 UTC · 12d agoModel release1

OpenArch – PyTorch implementations of modern LLM architectures

OpenArch provides PyTorch reference implementations of modern LLM architectures for developers and researchers.

OpenArch is a GitHub project offering PyTorch implementations of modern large language model architectures. The repository attracted 43 points and 7 comments on Hacker News. It targets developers and researchers who want readable, runnable versions of current LLM architectures.

Hacker News · AI·Sep 14, 07:55 UTC · 2d agoAI tools & infraHN 43↑ · 7 comments

Introducing the Agents API

OpenAI launched the Agents API in public beta, exposing the Codex agent harness, managed sandboxes, and multi-agent orchestration to developers.

OpenAI introduced the Agents API in public beta, giving developers the same agent harness and infrastructure that powers Codex through a single API call specifying task, model, tools, and environment. It supports OpenAI-managed sandboxes, customer infrastructure, or partner environments from providers including Cloudflare, Modal, E2B, Vercel, Oracle, DigitalOcean, Blaxel, Daytona and Runloop. Features include automatic context compaction for long sessions, tool search and programmatic tool calling to reduce token usage, and multi-agent support for parallel subagents. The harness is open-source Codex code; there are no extra API fees during beta, with developers paying only for tokens and tools used.

OpenAI News·updated Sep 11, 08:11 UTC · 5d ago·first Sep 10, 00:00 UTC · 6d agoAI tools & infra 4 sources

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR·Sep 9, 16:31 UTC · 6d agoResearch1

Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

Google DeepMind launched Gemini 3.8 Live and 3.8 Live Extended Thinking speech models, topping Artificial Analysis' Speech-to-Speech Quality Index at 82.6.

Google DeepMind released Gemini 3.8 Live, built for cost-efficient near-real-time dialogue with visual grounding, and 3.8 Live Extended Thinking for high-complexity multi-step reasoning. Extended Thinking ranks #1 on Artificial Analysis' Speech to Speech Quality Index (82.6), scores 68.6% on τ-Voice, 35.1% on Sierra's τ-Voice-banking, and 97.7% on Big Bench Audio. The models detect and switch among 97 languages mid-conversation, execute background tool and API calls, and roll out in the Gemini API, AI Studio, Gemini Enterprise private preview, and Search Live. All generated audio is watermarked with SynthID.

Google DeepMind·updated Sep 15, 20:53 UTC · 17h ago·first Sep 15, 17:05 UTC · 20h agoModel release 3 sources9

New cPanel Vulnerability Allows Attacker to Gain Full Control of the Server

cPanel disclosed critical SQL injection CVE-2026-67401 in EmailTrack, letting authenticated users with mail privileges gain root code execution; patched builds available.

cPanel disclosed CVE-2026-67401 on September 8, 2026, a critical SQL injection in the EmailTrack feature that monitors email delivery and routing. An authenticated attacker holding a valid cPanel account with mail-related privileges can create arbitrary files and achieve code execution as root, enabling full compromise of hosting servers and exposure of co-tenant customers. All supported cPanel/WHM versions before specific patched builds (11.110.0.143, 11.134.0.55, 11.136.0.39, 11.138.0.4 and 11.138.1.9 WP2) are affected; upgrading is the primary mitigation. No exploitation was reported at disclosure.

Cyber Security News·Sep 9, 08:37 UTC · 7d agoVulnerabilityCVE-2026-67401

The Frontier AEO Tracker: What Astra Chooses (and every other frontier model, and what you can do about it)

Latent Space launches an AEO tracker scoring 7 frontier models' product recommendations across 161 categories, revealing generational bias flips.

Latent Space built a tracker measuring Answer Engine Optimization by running 6 prompt variations across 7 frontier models with search enabled over 161 product categories, scoring first choices, alternatives, mentions, and anti-recommendations. It found 28 categories with a universally dominant primary choice and observed soft biases, such as models favoring their own lab's coding agents. Analysis of Anthropic's Sol→Astra and Opus→Fable generations showed newer models consulting fewer sources and being less likely to change answers when questions are paraphrased.

Latent Space·Sep 7, 21:32 UTC · 8d agoAI research

Attackers Exploit Critical JFrog Artifactory Flaw to Mint Admin Tokens Days After Disclosure

Threat actors exploit CVE-2026-82329, a default-config authentication bypass in JFrog Artifactory, to mint administrator tokens days after patch release.

watchTowr reports that CVE-2026-82329 (CVSS 9.8), an authentication bypass in JFrog Artifactory patched in version 7.161.20 on August 28, 2026, is being actively exploited as of September 1. The flaw, in JFrog Access, lets unauthenticated attackers abuse a 'phantom' join key on default configurations to forge access and mint administrator-level credentials. Observed activity includes admin token generation, user, group, and token enumeration, and backdoor user creation in limited cases, raising supply chain poisoning and lateral movement risks for the widely used artifact repository.

The Hacker News·Sep 2, 06:26 UTC · 14d agoExploit / PoC in the wildCVE-2026-82329

Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Researchers show IICL structural jailbreaks generalize to Google Gemini, lifting attack success to 80-100% on harm and financial benchmarks; non-English prompts attenuate it.

The study red-teams two Google Gemini models with Involuntary In-Context Learning (IICL), a structural jailbreak reframing harmful requests as the final cell of a data-labeling task. IICL lifts attack success from at most 6.7% to 80-90% on HarmBench and 97-100% on financial abuse (FinProof), an order of magnitude above prior results on OpenAI's GPT-5.4. Against a compounding hypothesis, forcing IICL output into Spanish, Hindi, or Arabic attenuates the attack in 11 of 12 conditions, attributed to a 'relevance curse' producing lower-quality harmful content in lower-resource languages. Findings replicate under an independent non-Google judge (Cohen's kappa 0.86 over 377 paired verdicts).

arXiv cs.CR·Sep 8, 07:38 UTC · 8d agoAI safety & security

[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs

TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.

TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.

Latent Space·11:09 UTC · 2h agoModel release

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 · 8d agoAI research

Malicious Twitch Extension Exposes OAuth Tokens of 30,000 Chrome and Firefox Users

Malicious 'Twitch Enhanced Viewer | JeetBot' browser extension stole live OAuth session tokens from roughly 31,000 Chrome and Firefox users.

Socket.dev found the cross-store extension 'Twitch Enhanced Viewer | JeetBot' rerouted Twitch playlist requests through operator-controlled proxies, attaching the victim's account-level OAuth token as a URL parameter where it could be logged in cleartext. About 30,000 Chrome and 552 Firefox installs were exposed, with tokens forwarded for nearly every watched channel to infrastructure tied to a Russian commercial bot service. The stolen bearer token enables chat, whisper, account-setting access and channel-point spending without the password or 2FA.

Cyber Security News·updated Sep 14, 15:00 UTC · 1d ago·first Sep 14, 13:50 UTC · 2d agoMalware in the wild 2 sources

Homebrew 7.0.0 Adds Built-In Vulnerability Scanner and Stronger Package Sandboxing

Homebrew 7.0.0 ships a native brew vulns scanner, OSV-backed advisory database, stronger sandboxing, and fixes a sandbox-escape issue.

Homebrew 7.0.0 introduces a built-in 'brew vulns' command that scans installed formulae, dependencies, and Brewfiles against a new Homebrew-specific advisory database and OSV.dev data, distinguishing backported fixes from outdated versions. The release hardens sandboxing by blocking home-directory reads during builds, disabling network access at install time, and replacing Bubblewrap with Landlock on Linux. It also fixes moderate-severity GHSA-5263-whxq-77hp, where a malicious cask could execute code outside the macOS sandbox via LaunchServices, and drops macOS Catalina while moving Intel Macs to Tier 3.

Cyber Security News·Sep 15, 13:55 UTC · 1d agoTools

ThreatsDay: 200 Android Flaws, Browser-Built Phishing, 119K Scam Shops + 23 More Stories

Hacker News ThreatsDay digest: malicious browser extensions, AI-agent intrusions, NCSC shadow AI warning, M&A wire fraud, and 119,000-domain fake shops.

Socket found four malicious Chrome and Firefox extensions (J7Tracker, VREO, Orbit Tracker) stealing session tokens and wallet data from Axiom Trade and Padre users via attacker-controlled Vercel deployments. Hunt.io reported a Chinese-speaking operator using Claude Code, Alibaba Qwen, and DeepSeek with the SecFlow orchestration framework to automate intrusions against government and financial targets in Afghanistan, Thailand, Taiwan, and the US. The UK NCSC warned shadow AI use risks breaches and regulatory failure, Microsoft announced privacy-preserving Windows Age APIs, and Gen Digital described fake M&A wire-fraud scams. A 119,000-domain fake-shop operation called DoppelCart was also highlighted.

The Hacker News·Sep 10, 17:47 UTC · 5d agoIndustry in the wild

Acronis Plugin Vulnerability in cPanel and Plesk Exploited in the Wild

Acronis patched CVE-2026-87886 (CVSS 7.8), a local privilege escalation flaw in its cPanel and Plesk backup plugins, exploited in targeted attacks.

Acronis released fixes for CVE-2026-87886 (CVSS 7.8, CWE-276), an insecure file permissions flaw in Linux-based backup components for cPanel & WHM and Plesk that enables local privilege escalation. The vendor observed limited, targeted exploitation in the wild before patches shipped. Fixes are available in Backup plugin for cPanel & WHM 1.9.3 HF3 and Backup extension for Plesk 1.8.11. A local attacker with low privileges could gain elevated access to backup data, control panels, and other customer accounts on shared hosting infrastructure.

Cyber Security News·updated 11:08 UTC · 2h ago·first 08:01 UTC · 5h agoExploit / PoC in the wild 6 sourcesCVE-2026-87886

Leaks, data breaches, and ransom notes: The worst hacks of 2026 so far

TechCrunch's 2026 roundup covers SSA data exposure, Iranian water-utility attacks, Klue breach hitting ~200 firms, and Meta AI chatbot account hijacks.

TechCrunch's mid-year roundup highlights a whistleblower claim that DOGE uploaded a live Social Security database copy to an unsecured third-party server, which House Democrats called potentially the largest US breach in history. CISA reported Iranian hackers targeted over 100 US water providers over the summer, while Russian-linked attacks hit Polish, Swedish, and Norwegian energy and water infrastructure. Market research firm Klue was breached via a stale 2022 pilot credential, exposing cloud keys of ~200 customers including Jamf, HackerOne, and LastPass to extortion gang Icarus. Separately, tens of thousands of Instagram accounts were hijacked by abusing Meta's AI chatbot to trigger password resets to attacker-controlled emails.

TechCrunch · Security·Sep 15, 16:00 UTC · 21h agoData breach in the wild

Augustinian BabyLM: What Ostensive Definition Can and Cannot Teach a Small Language Model

Study shows visually grounded token embeddings in a small masked LM persist through training and improve object-property knowledge, but escape standard BabyLM benchmarks.

The paper implements ostensive definition for a small DeBERTa masked language model trained on 10M words, seeding visually grounded tokens with embeddings derived from labeled image regions before training. Visual initialization leaves a persistent, seed-replicated advantage on object-property knowledge (COMPS) and a corpus-tailored Visual-Property Swap benchmark covering color, material, size, and shape, but has no effect on most BabyLM grammar benchmarks. Synthetic grounding of previously unseeded words causally transfers the advantage to exactly those words.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:43 UTC · 5d agoAI research

⚡ Weekly Recap: AI Goes Rogue, Metabase 0-Day, MCP Supply

The Hacker News·Aug 10, 15:03 UTC · Aug 10, 2026Ransomware in the wildCVE-2026-34348CVE-2026-18497CVE-2026-63508+43 CVEs1

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference

Hands-on tutorial implements NVIDIA cuML and RAPIDS to GPU-accelerate scikit-learn-style ML workflows with benchmarking, clustering, and inference.

The tutorial demonstrates NVIDIA cuML as a GPU-accelerated machine learning framework, using cuml.accel to speed up unmodified scikit-learn scripts with zero code changes and the native cuML API for CuPy/cuDF interoperability. It benchmarks CPU versus GPU implementations of PCA, K-Means, nearest-neighbor search, logistic regression, random forests, and DBSCAN on datasets up to 200,000 samples with 64 features. It also builds GPU pipelines with UMAP, t-SNE, and HDBSCAN, validates GPU-generated SHAP explanations, uses the FIL library for forest inference, and covers model serialization and GPU/CPU portability.

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