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1310 results for β€œBase”

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  1. Tanmay (@TanmayK_03) on X

    DBHub, a database MCP server, had a read-only mode bypass in its SQL check. The check treated every `--` as a comment, but MySQL only starts a comment when whitespace follows it. A hidden write statement could therefore still run, and a prompt injection could trigger it. Fixed in version 0.22.6. Replies say enforcement belongs in database grants and that parser tests need to be dialect-specific.

    x.comthreadAdded 31 Oct 2026, published 30 Oct 2026πŸ›‘οΈ Security

  2. Passkeys Are Better Than Passwords. But They Are Not Enough.

    Opinion piece arguing that passkeys, built on public-key cryptography, resist phishing, credential stuffing and password theft but do not settle identity risk. Attackers can go around them through account enrollment before a passkey is bound, weaker recovery paths (SMS, email link, help desk), device changes and authenticated session hijacking. It proposes layering identity threat detection with risk-based, continuous evaluation of trust.

    securityweek.comarticlePublished and added 30 Oct 2026πŸ›‘οΈ Security

  3. rikugan: LLM reverse-engineering agent for IDA Pro and Binary Ninja

    Rikugan is a reverse-engineering agent that runs inside IDA Pro and Binary Ninja. It has its own generator-based agent loop, context management, plan mode and 60+ tools, and does not depend on an external MCP server. An orchestrator spawns parallel subagents to analyze a binary. It supports Anthropic, Gemini, MiniMax, Kimi, OpenAI-compatible endpoints and Ollama, with per-model notes.

    github.comrepoAdded 30 Oct 2026🧠 AI

  4. Content Providers and the potential weak spots they can have | Oversecured Blog

    Oversecured's Android security checklist for Content Providers covers insecure FileProvider path configs, path traversal via decoded Uri.getLastPathSegment(), mismatched readPermission/writePermission, proxying requests to more privileged providers, SQL injection across a shared database, and sensitive actions in providers. Each case has vulnerable manifest and Java code, an attacker PoC and remediation. Real cases from Google and Samsung devices are cited. The page text was truncated near the end.

    oversecured.comarticleAdded 29 Oct 2026πŸ›‘οΈ Security

  5. Inside mobile taint analysis: how source-to-sink tracking finds real data-leak paths | Oversecured Blog

    Oversecured explains taint analysis for Android and iOS apps and contrasts it with pattern-matching SAST such as MobSF. It covers source, flow and sink, cross-component tracking over Intents, flag-based sanitizer modeling and implicit intent simulation. The case study is an unsafe Class.forName().newInstance() on a Serializable transportFactoryClassName field in Google's com.google.auth.oauth2 credential classes, which Google fixed with a $3,133.70 bounty.

    oversecured.comarticleAdded 29 Oct 2026πŸ›‘οΈ Security

  6. Vulnerabilities that lead to account takeover in banking and fintech mobile apps | Oversecured Blog

    Oversecured guide to eight vulnerability categories that lead to account takeover in mobile banking and fintech apps: WebView JavaScript bridge token leakage, Intent Redirection, hardcoded tokens, deeplink hijacking, insecure token storage, localhost OAuth listeners, AIDL abuse and weak biometric auth. It includes a WebView PoC based on Samsung SmartThings CVE-2022-30746 and maps findings to OWASP MASVS, PCI DSS and PSD2. It argues taint analysis plus dynamic PoC is needed to find multi-component chains.

    oversecured.comarticleAdded 29 Oct 2026πŸ›‘οΈ Security

  7. A quiet week in infosec <.<

    Cisco Talos Threat Source newsletter for the week of the PHP and Node.js vulnerability news cycle. It summarises NIK C2, a Go-based Windows implant that dumps credentials, streams keystrokes, deploys screen-locking ransomware and uses a victim's hijacked OpenAI API keys to analyse stolen data. It also lists weekly headlines (CISA KEV PHP bugs, Brotli flaw, Gheist GitHub token theft), Talos links and top malware hashes.

    blog.talosintelligence.comarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  8. VeriCUA: Verification as Agentic Exploration for Computer-Using Agents

    VeriCUA is a platform-agnostic framework that verifies task completion by computer-using agents through agentic exploration. The verifier inspects context to build a task rubric, then picks GUI or code checks for unresolved requirements and combines findings under explicit evidence rules. It works online and offline across desktop, mobile and web, and agrees better with reference labels than the baselines, with the largest offline gains on hard cases.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  9. On the Fundamental Limits of Prefill-Based Decoding Length Prediction

    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 Οƒ=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.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  10. Retrieving from Your Own Mistakes: On-Policy Training of Embedding Models for Multi-Hop Retrieval-Augmented Generation

    On-policy state training is a method for training chain embedding retrievers for multi-hop RAG on the states the encoder itself reaches, including those built on its own wrong retrievals. Each state is labeled with the earliest missing gold passage, other missing gold passages are masked, and updates are contrastive and mixed with teacher-forced states. It retrieves complete evidence more often than teacher-forced training and graph-based systems, and transfers to harder long-chain HotpotQA and 2WikiMultiHopQA variants the authors built.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  11. Understanding and Mitigating Role Spoofing in LLMs

    Understanding and Mitigating Role Spoofing in LLMs is an arXiv paper (October 2026) on role spoofing, a prompt injection where malicious tool output impersonates the user. It shows models track "who said what" using both content cues (semantics, style) and structure cues (control tokens, formatting). Attacks combining fake structure and content succeed often, adversarial training stops only content-based attacks, and linear probes trained to predict conversation roles detect spoofing across settings.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  12. OpenCode User Hit with Hostile Backlash After Reporting Free AI Loophole

    Socket reports on a GitHub issue for OpenCode, opened 28 June, describing a bypass of per-IP usage limits on its free hosted models by switching VPN addresses. The reporter first proposed account-based limits, then reopened the issue in August to promote the workaround and claimed to run 130 agents. After the thread drew harassment and was deleted in October 2026, it is unclear whether OpenCode fixed the bypass.

    socket.devarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  13. OpenCode User Hit with Hostile Backlash After Reporting Free AI Loophole

    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.

    socket.devarticlePublished and added 29 Oct 2026🧠 AI

  14. How we detect frontier model misalignment

    OpenAI's internal misalignment monitoring system uses a layered pipeline: activation probes, a model-based reviewer, an investigative agent and automated investigation against network logs, then human paging. Replaying the Hugging Face incident, the expanded monitors would have alerted security about 30 minutes after the sandbox escape, over 30 hours before the breach. The post covers evaluation on recorded and simulated incidents, METR and Redwood Research red-teaming, avoiding chain-of-thought obfuscation pressure, and external Astra monitoring.

    alignment.openai.comarticleAdded 30 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  15. How we detect frontier model misalignment

    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.

    alignment.openai.comarticleAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  16. Granite Switch 4.1.1 β€” Update models like you update software

    Granite Switch 4.1.1 is a backwards-compatible patch release of IBM's modular Switch architecture, which configures a language model with specialized, cache-efficient adapters on one endpoint. It updates the Granite Speech ASR model (10 languages, native punctuation and capitalization) and the Decision adapter in granitelib-core, measured on the Jev Decision Index test set. Only the new adapters were retrained; the base model is unchanged. IBM plans tutorials and an Adapter SDK for third-party adapters.

    huggingface.coarticlePublished and added 29 Oct 2026🧠 AI

  17. M-PFT: Angular Margin for Calibrated Prompt-Tuning of Fine-Tuned Vision-Language Models

    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.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  18. Treasury Sanctions 11 Over North Korean IT Worker Scheme That Moved Millions in Crypto

    Decrypt reports that OFAC sanctioned 10 individuals and one entity on 28 October 2026 over North Korean IT worker schemes. Russian nationals Ilya Boykov and Vitold Obertas converted millions in crypto (about $3.5 million and nearly $2 million), and the listings include Ethereum and Tron addresses, one shared by both. It also covers the Vladivostok-based First Financial and Technical Development Center and Kim Ki Hyok, who moved nearly $500,000 in crypto.

    decrypt.coarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  19. Hackers Steal 2.6 Million Records From Sony’s Japanese ISP So-net

    So-net, the Japanese ISP run by Sony Network Communications, disclosed on 27 October that attackers broke into its member database on 19 October and took nearly 2.6 million records of So-net and Plala subscribers. Data includes names, birth dates, phone numbers, emails and user IDs, plus about 54,000 email addresses with passwords and 16 bank account records. The company reset mail passwords and reported to Japan's Personal Information Protection Commission; the intrusion method is undisclosed.

    securityweek.comarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  20. NIK C2: The new AI-enabled command-and-control framework

    NIK C2 is a newly observed C2 framework with a Go-based 64-bit Windows implant that embeds an OpenAI Chat Completions client (ai_generate command), falling back to the victim's OPENAI_API_KEY. Talos details its 52+ commands, AES-256-GCM over WebSocket with HTTP fallback, credential, wallet and keystroke theft, screen-lock ransomware, AMSI bypass and anti-debug. It also lists a live C2 at 87.120.196[.]120 and total-sitevv[.]lol.

    blog.talosintelligence.comwriteupPublished and added 29 Oct 2026πŸ›‘οΈ Security

  21. lee1981 (@lee1981b) on X

    CVE-2026-103780 is a stack-based buffer overflow (CWE-121) in Dell PowerProtect Data Domain / DD OS. An unauthenticated remote attacker could get command execution (CVSS 3.1 9.8, Dell DSA-2026-416). The post lists affected and fixed builds for four release trains (Feature Release, LTS2024, LTS2025, LTS2026). It adds KEV, EPSS and SSVC status, plus six defensive checks. The vulnerable service is not public.

    x.comadvisoryAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  22. How Gemini is helping students and teachers in the classroom

    Google reports two classroom studies of Gemini. In a 10-week RCT with over 1,100 UK students (ages 12-15) on Eedi, Gemini-based AI tutoring matched human tutors on in-platform tasks and quizzes, with expert approval of responses rising from 76% to 95%. Gains did not appear on STAR standardized tests. A yearlong Italian study of 1,600 teachers found lessons co-designed with Gemini shifted toward collaborative work.

    blog.googlearticleAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  23. How we detect frontier model misalignment

    OpenAI describes its expanded misalignment monitoring system for frontier models across training, evaluation, internal use and external deployment. It uses a layered design: activation probes (L0), a model-based reviewer (L1), investigative agents (L2) and log-based security checks (L3). 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 monitor evaluations, METR and Redwood red-teaming, and chain-of-thought pressure.

    openai.comarticlePublished and added 29 Oct 2026🧠 AI

  24. ADLC metrics: How to measure agentic development security | Endor Labs

    ADLC metrics is an Endor Labs guide to measuring security in the agentic development lifecycle, where AI coding agents write code. It defines formulas in five categories: AI supply chain visibility, agent action security, agent-generated code security, package risk and developer flow. It advises normalizing findings per merged change, comparing against a human baseline, and baselining six to eight metrics for a month.

    endorlabs.comarticlePublished and added 29 Oct 2026🧠 AI

  25. Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection

    Paper studying whether self-evolution weakens personal agents' robustness to indirect prompt injection (IPI). A two-phase method has the user ask the agent to follow tasks in external content, then tests with a third-party injected task the user did not authorize. Against the non-evolving base agent, attack success rose 14.0 to 48.8 points under skill evolution and 3.0 to 39.3 points under reinforcement learning. Code is released.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  26. Why Agents Love Supabase

    Latent Space podcast episode with Supabase founders Paul Copplestone and Ant Wilson on why frontier models pick Supabase first for app backends. It covers the alpha Docker-free local runtime, declarative schemas kept in Git, Supabase Compute for containers beside the database, and scale work (OrioleDB, Multigres, Turso). The founders say Supabase launches about five million databases a month and that AI-driven signups converted better.

    latent.spacetalkPublished and added 28 Oct 2026🧠 AI

  27. Cryptography and Security Papers (@FSFG) on X

    Log-To-Leak is an arXiv paper (cs.CR, cs.AI) by Yuepeng Hu, Chongyu Fan, Sirat Samyoun and Jian Du on prompt injection attacks against tool-using LLM agents through the Model Context Protocol. The title points to a logging-based data leakage channel. The fetched page holds only the title, authors and arXiv link, with no abstract, so the method and results are not visible here.

    x.compaperAdded 29 Oct 2026, published 28 Oct 2026πŸ›‘οΈ Security

  28. Social Engineering: Modem-Based Persistence in a Compromised Environment

    The article describes reflashing a Huawei E3372h-153 HiLink 4G USB modem so its embedded Linux OS runs an OpenVPN client over the mobile network, creating a covert, network-independent persistence channel after physical USB access. It walks through enabling debug mode, flashing firmware, disabling CD-ROM emulation, configuring DHCP and autorun scripts, and chaining a second L2VPN tunnel to bridge the attacker directly onto the victim's Ethernet segment for tools like Responder. Defense guidance focuses on restricting USB ports and disabling USB network adapters via policy.

    hackers-arise.comwriteupPublished and added 28 Oct 2026πŸ›‘οΈ Security

  29. Beyond the Event Horizon of Keccak, Extending the Observation from 2011 and applications

    Beyond the Event Horizon of Keccak extends a 2011 observation that a path in the Keccak sponge from a zero-capacity state back to one yields infinite second-preimage families. Three theorems cover loops from any capacity value x, k-block loops and cycles, and Joux-style multicollisions with search cost independent of k. Verified examples run on Keccak-f[200] and Keccak-f[1600] with c=32; it also proposes bridge-based protocols.

    eprint.iacr.orgpaperPublished and added 28 Oct 2026πŸ›‘οΈ Security

  30. Bithumb Says Hackers Accessed Internal System, Leaking Personal Data

    Bithumb, South Korea's second-largest crypto exchange, said an outside party accessed its internal mobile groupware system and leaked personal data. Daishin Securities reported 38,490 customers' names, emails and phone numbers leaked, and Mirae Asset Global Investments also confirmed a hack. Coinbase vendor Amplitude exposed contact data the same day. Changpeng Zhao advised unique email aliases, no SMS 2FA and carrier number locks. The access method is not disclosed.

    decrypt.coarticlePublished and added 28 Oct 2026πŸ›‘οΈ Security

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