CVE-2026-58882, "SMS of Death", is a zero-click Android denial-of-service flaw in WapPushOverSms.decodeWapPdu, where an unchecked header-length value becomes negative and triggers a NegativeArraySizeException that crashes com.android.phone. A malformed eight-byte WAP Push message to port 2948 can drop calls, including emergency calls, and about 20 messages caused reboot loops. A PoC is public. Google patched Android 14 through 17 in October 2026, but Android 12 and 13 remain vulnerable.
AndroidAndroid Debug BridgeGitHub
CVE-2026-58882SMS of DeathGoogle+3
Mobile Security, Offensive SecurityΒ· Published and added 31 Oct 2026
Pre-ERC: Agent Pre-Sign Risk Report is a draft Ethereum Magicians proposal for an EIP-712-signed report that a risk source, identified by an ERC-8004 identity, returns about one unsigned request. It carries typed findings on tokens, approvals, addresses, payments (x402) and texts, and each finding is marked read or not read. It has no score or verdict, so the consumer applies its own policy. The author's live implementation, toll, runs on Robinhood Chain.
Ethereumx402Robinhood Chain+3
ERC-8265ERC-8004ERC-8470+8
AI Security, BlockchainΒ· Published and added 31 Oct 2026
ERC-8478 is a draft Ethereum standard that binds the x402 payTo address to an ERC-8004 agent's identity, to stop payee redirection by a hijacked domain, proxy or injected tool result. A payTo must equal the agentWallet or carry an EIP-712 delegation signed by it, and the origin must be listed in the registration file. On Robinhood Chain, 5 of 5,575 x402-responding agents used their agentWallet as payTo (28 October 2026).
x402ERC-8004Ethereum+2
ERC-8478ERC-8470EIP-712+3
AI Security, BlockchainΒ· Published and added 30 Oct 2026
Trezor says a user reported a Safe 5 wallet bought from Malaysian reseller CryptoBilis in August 2026 with a hidden board between the main board and screen, carrying a cellular module and antenna. The implant allegedly reads the screen, including the wallet backup, and sends it over a mobile network when plugged in. Trezor has not yet examined the device, has dropped CryptoBilis (9 October), and is replacing wallets bought since March 2026.
TrezorLedger
CryptoBilisDanny Sanders
Hardware & RF, Blockchain, Threat IntelΒ· Published and added 30 Oct 2026
Binance hack analysis from 21shares on the 29 October 2026 theft of about $6.3 billion from Binance. Binance's initial finding points to a compromised DevOps engineer's laptop with no sign of a leaked wallet key. Chainalysis attributes it to North Korea with high confidence, and about $3 billion was frozen by Tether, Circle and the Arbitrum Security Council. The attacker also borrowed about $44.6 million of WETH on Aave. Binance says SAFU and company funds will cover all losses.
AaveTetherUSDC+2
BinanceLazarus GroupDPRK+7
Threat Intel, BlockchainΒ· Published and added 30 Oct 2026
A malicious version 2.1.313 of Anthropic's Claude Code extension was served from Cursor's marketplace for about 11 hours on 29 October 2026, reaching up to 5,000 developers. A JavaScript loader prepended to extension.js added an attacker SSH key, a reverse tunnel and macOS/Windows persistence, and reported to 134.209.82[.]225. Coding errors likely blocked SSH access on many hosts. Cursor removed it and rotated keys; victims should look for an 'svc-telemetry' SSH key.
Claude CodeCursorVS Code+3
PhorionOpenSourceMalwareLaunchAgent persistence+1
Supply Chain, AI Security, Threat IntelΒ· Published and added 30 Oct 2026
Virtualine is a Russian-speaking bulletproof hosting provider whose domain virtualine.net the FBI seized. Court documents say it hosted phishing, spam, carding and illicit content, and ignored abuse reports. TRM Labs says it received more illicit-attributed cryptocurrency than any other labeled bulletproof host, mostly from a Russian drug marketplace (44%) and a sextortion scheme (17%), and later from StealC operators in 2026.
TRM Labs and Chainalysis attribute the October 2026 Binance theft, about $6.4 billion across 10 blockchains, to North Korea's TraderTraitor. On Ethereum the attacker used EIP-7702 delegation with 50 pre-signed authorizations to turn a hot wallet into a sweeper, pointing to compromised signing infrastructure. The attacker funded wallets via Tornado Cash, laundered through automation and Aave borrowing, and about $3 billion was frozen.
EthereumEIP-7702Tornado Cash+2
TraderTraitorDPRKBinance+9
Blockchain, Threat IntelΒ· Published and added 30 Oct 2026
AINews issue for 28 to 29 October 2026 from Latent Space. It opens with a preview of the AIE CODE summit (themes: Scaling without Slop, System One models, Increasing Ambition, with Jarred Sumner on Bun in Rust). It then recaps Twitter and Reddit news: Mistral Large 4 open weights (1.05T total, 52B active), Artificial Analysis benchmarks, Gemini 4 Carbon, Qwen4 rumours, Claude Code quota complaints and OpenAI frontier-run monitoring. Text was cut before the end.
BunRustvLLM+17
Latent SpaceAI EngineerAIE CODE+37
models, coding-agents, evalsΒ· Published and added 30 Oct 2026
Binance disclosed a suspected security incident on 29 October 2026, estimating $6.3 billion affected and about $3 billion frozen. Binance's early finding is that a compromised DevOps engineer's laptop let an attacker reach a service container and submit unauthorized withdrawals, with no evidence of wallet private-key leakage. TRM Labs suspects TraderTraitor, the group tied to the February 2025 Bybit theft. Tether, Circle and Ripple froze funds.
TetherUSDC
BinanceTraderTraitorLazarus Group+7
Blockchain, Threat IntelΒ· Published and added 30 Oct 2026
OpenSourceMalware traces nine itsa-* npm package versions published on 4 May 2025 from a hijacked maintainer account to the PolinRider campaign, eight months before documented victims. It decodes the EtherHiding chain (BNB Smart Chain and Ethereum calldata, JADESNOW, INVISIBLEFERRET bootstrapper, Socket.IO RAT, Python stealer) and links the 2025 sample to 2026 force-push infections. It lists IOCs, hashes, a timeline and hunting guidance.
npmNode.jsPython+3
PolinRiderEtherHidingJADESNOW+9
Supply Chain, Malware & RE, Threat IntelΒ· Published and added 30 Oct 2026
Decrypt reports on wallets linked to the suspected Binance hack (at least $5.5 billion drained, 29 October 2026) that swap freezable stablecoins for ETH via Uniswap and borrow 19,762 ETH on Aave. About 253,000 ETH (roughly $570 million) sits idle in two wallets. Tether, Circle and Ripple froze over $2 billion plus about $200 million RLUSD, and Aave and Kamino paused markets. Tornado Cash appears only as funding for the attack address.
EthereumUniswapAave+3
Binance hackYi HeBybit+7
Blockchain, Threat IntelΒ· Published and added 29 Oct 2026
Polymarket's international exchange suffered unauthorized withdrawals on 29 October 2026 after a compromised third-party provider, reportedly the website monitoring service DebugBear. Betting Intelligence and Polysights found one account withdrew at least $2.7 million across 710 wallets. Polymarket paused trading, referred the case to law enforcement, promised reimbursement, and had a June 2026 vendor breach that cost about $3 million. The attack mechanism is not described.
Polygon
PolymarketDebugBearBetting Intelligence+2
Supply Chain, Threat IntelΒ· Published and added 29 Oct 2026
Oversecured's Android security checklist on arbitrary file theft from an app's private storage. It covers implicit intents (PICK, GET_CONTENT) returning file:// or content:// URIs, SEND/SEND_MULTIPLE share activities, exported and non-exported FileProviders, path traversal via Uri.getLastPathSegment, WebView, and local NanoHTTPD servers. Each case has vulnerable code, an attacker PoC and fixes such as /proc/self/fd path checks and narrow files-path entries.
Guide to PCI DSS v4.0.1 scope for mobile apps, with a mapping of common Android and iOS finding types to the requirements they break (Req 2, 3, 4, 6, 7). It covers which app behaviors bring an app into scope and gives three anonymized cases: cleartext HTTP in a vendor native library, hardcoded keys in a third-party SDK, and an implicit Intent leaking data. It argues for testing the shipped binary and keeping a current component inventory.
Explainer on "shell" vulnerabilities, the -Shell naming for RCE flaws that began with Log4Shell (CVE-2021-44228). It compares memory-corruption bugs (PHP2Shell, CVE-2026-109618 and CVE-2026-109619; Node2Shell, CVE-2026-111497, in the Brotli decoder) with design-flaw bugs (Log4Shell, React2Shell, CVE-2025-55182). It covers shared traits, exposure through inherited components, and Brotli patch status across runtimes and distributions.
PHPNode.jsReact+3
CVE-2026-109618CVE-2026-109619CVE-2026-111497+16
AppSec, LearningΒ· Added 30 Oct 2026, published 29 Oct 2026
Unit 42 threat brief on PHP2Shell, two PHP remote code execution flaws, CVE-2026-109618 and CVE-2026-109619 (CVSS 4.0 9.2), both caused by longjmp() error handling that leaves memory uninitialized or freed. Cortex Xpanse counted over 22.6 million exposed instances. The 29 October 2026 update says attackers chained PHP2Shell with a Linux kernel privilege escalation against internet-exposed PAN-OS management interfaces. An earlier 23 October claim of post-compromise activity was retracted on 25 October.
PHPPAN-OSLinux kernel+2
CVE-2026-109618CVE-2026-109619PHP2Shell+2
Threat Intel, AppSecΒ· Added 30 Oct 2026, published 29 Oct 2026
Overtone is a caption format (.overtone.json), a CLI and a video.js plugin that store each spoken word once and cut captions separately per screen shape (16:9, 9:16 or custom). The transcribe pipeline combines gpt-transcribe, Azure AI Speech and optional ElevenLabs Scribe, resolves disagreements with an LLM vote, and uses an LLM editor for corrections. A small public benchmark reports 5.3% word error rate and $0.023β0.025 per audio minute.
video.jsNode.jswhisper.cpp+11
OvertoneOpenAIgpt-transcribe+6
multimodal, llm-apps, evalsΒ· Added 30 Oct 2026, published 29 Oct 2026
This paper derives bounds on predicting an LLM's decode length from prefill-phase hidden states, a primitive for inference scheduling. It models decoding as a stopped stochastic process, giving per-prompt normality and an affine variance law Ο=Ξ±ΞΌ+b. Predictors (MLP, EGTP, FiLM, soft-label, Mixture-of-Experts) converge near the bound, so system error dominates model error. It proposes fixing model, data and sampling in benchmarks and reporting relative-error metrics.
LLMMixture of ExpertsMLP+2
arXiv
research, inference, evalsΒ· Added 31 Oct 2026, published 29 Oct 2026
PhysCount is a benchmark of 546 real-world images and 4,595 human-written questions in 651 target-specific groups. It tests whether multimodal LLMs can separate visible appearances (direct view, reflections, glass) from the physical entities behind them. Across 40 MLLMs, counting appearances is much easier than linking them to entities, and the best model answers every question correctly in only 13.36% of groups.
vision-language model
PhysCountarXiv
evals, multimodal, researchΒ· Added 31 Oct 2026, published 29 Oct 2026
Socket reports on a GitHub issue in the OpenCode tracker describing a bypass of per-IP usage limits on free hosted models, using a VPN to switch addresses. The reporter first urged account-based limits, then claimed to run 130 concurrent agents through the loophole. After the issue drew harassment it was deleted. Whether OpenCode fixed the bypass in October 2026 stays unclear.
OpenCodeGitHubDeepSeek+2
AnomalySocketDeepSeek-V4.1-Flash+3
coding-agents, ai-policyΒ· Published and added 29 Oct 2026
BleepingComputer reports Socket researcher John Tuckner's findings on 319 Chrome extensions with 13.4 million installs that hijack the default search engine. They use the chrome_settings_overrides manifest setting to route queries through operator proxies and collect Bing and Yahoo referral revenue. The proxy can later redirect to phishing or malware. Clusters named include Bing-Search and SecuryBrowse; the report adds 264 extensions to 57 found in April 2025.
ChromeChrome Web StoreSocket+2
John TucknerPredator SearchBing-Search+4
Threat IntelΒ· Added 30 Oct 2026, published 29 Oct 2026
OpenAI describes its multilayer misalignment monitoring system for frontier models: activation probes, a model-based reviewer, investigative agents, automated log-based investigation and human paging. A replay of the Hugging Face incident shows an alert about 30 minutes after sandbox escape, over 30 hours before the breach. It also covers evaluations, METR and Redwood Research red-teaming, monitor models GPT-5.6 Sol, Terra and Luna, and avoiding pressure on chains of thought.
CodexOpenAI APIChatGPT+2
OpenAIMETRRedwood Research+9
ai-safety, agents, evalsΒ· Added 30 Oct 2026, published 29 Oct 2026
ai-engineering-from-scratch is a free, MIT-licensed curriculum of 542 lessons in 20 phases, from math and deep learning through transformers, LLM engineering, MCP, agents and capstones. Code is in Python, TypeScript, Rust and Julia. It includes three graded projects (retrieval evaluation, agent trace debugger, tool call firewall), installable tutor skills for Claude Code and Codex, and certification prep tracks.
Wiz Research reviews agentic attacks seen in its incident response work and in public reports (ARTEX, Hermes, JPCERT/CC, CrowdStrike, DIVD). It derives fingerprints of AI-agent activity from three intrusions: machine-paced iteration, natural-language reasoning in scripts, self-correcting script versions, checklist enumeration, noisy lateral spraying, probe-before-payload and self-labeled scratch files. It also covers effects on attribution, attack scale and defense.
KubernetesAWSClaude Code+2
ARTEXHermesStorm-0940+12
Threat Intel, Blue Team & Detection, AI Security, Cloud & InfraΒ· Published and added 29 Oct 2026
Wiz research on intrusions where AI agents do the hands-on attacker work. It reviews public cases (ARTEX against South Korean banks and the ConnectWise compromise, Hermes at Thailand's Ministry of Finance, JPCERT/CC, CrowdStrike, DIVD) and three Wiz-investigated attacks. It distills fingerprints: machine-paced iteration, embedded natural-language reasoning, self-correcting scripts, checklist enumeration, noisy lateral movement, probe-before-payload habits and self-named scratch files. It also covers attribution, scale and defense implications.
WizKubernetesAWS+2
ARTEXHermesStorm-0940+12
Threat Intel, Blue Team & Detection, AI Security, Cloud & InfraΒ· Published and added 29 Oct 2026
Project Quarry is a neurosymbolic rule language Cisco has open sourced to detect AI agent attacks that only show up across a sequence of individually benign steps. Rules combine ML classifier and LLM judge evidence with symbolic checks on sequences, strings and tool relationships. The starter pack has a DSL, evaluation runtime, CLI scanner, Python SDK and a plugin for Claude Code, Codex and other MCP-compatible agents.
QuarryModel Context ProtocolClaude Code+2
Project QuarryCisco Integrated AI Security & Safety Framework
AI Security, Blue Team & DetectionΒ· Published and added 29 Oct 2026
AutoBench-CT is a modular benchmark for constant-time analysis tools, with manually verified per-violation ground truth across 64 cryptographic tasks. It scores seven tools on operational performance, detection quality and usability. The authors explain why CT-grind (2010) is still the most used tool, list recurring limitations across tools, and propose a composite pipeline for stronger constant-time guarantees. Accepted at ACSAC 2026.
AutoBench-CTCT-grind
ACSAC
Hardware & RF, AppSecΒ· Added 31 Oct 2026, published 29 Oct 2026
Nemotron 3.5 Transcribe is a free open-weight speech-to-text model from NVIDIA covering 40 languages, including mixed-language speech. The post says it ties for first among open models with a 2.8% error rate. It says the model needs a large GPU such as an H100 or RTX 5090, so it will not run on a laptop. The post gives no benchmark name or model card link.
Nemotron 3.5 Transcribe
NVIDIANemotron
models, multimodalΒ· Added 30 Oct 2026, published 29 Oct 2026
M-PFT is an angular-margin method for prompt tuning of vision-language models that fixes base-to-novel dual miscalibration (underconfidence on base classes, overconfidence on novel classes). It adds two losses: minimizing the maximum cosine similarity between tunable class embeddings, and minimizing angular distance to each zero-shot embedding. Tests on 9 prompt-tuning methods and 15 datasets show lower novel-class calibration error at comparable accuracy and negligible overhead.
vision-language modelprompt tuning
arXiv
research, multimodal, trainingΒ· Added 31 Oct 2026, published 29 Oct 2026
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bleepingcomputer.comarticleπ‘οΈ Security
