Skip to content

462 results for β€œInjection”

What you seeeverything
  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. https://portswigger.net/web-security-academy

    Web Security Academy is PortSwigger's free online web security training. It is known to combine learning material with hands-on labs across web vulnerability classes such as SQL injection, XSS, SSRF, authentication flaws and request smuggling, and to be built around Burp Suite. The page had no extractable text, so this description comes from the URL and general knowledge of the site.

    portswigger.netcourseAdded 30 Oct 2026πŸ›‘οΈ Security

  3. 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

  4. 20 security issues found in Xiaomi devices

    Oversecured's write-up of 20 vulnerabilities in Xiaomi apps and system components, reported to Xiaomi between 25 and 30 April 2023. Bugs include intent redirection with system privileges in Security and GetApps, shell command injection in System Tracing, and arbitrary file theft via path traversal in Settings and MIUI Bluetooth. Each has a PoC. The page was truncated, so the later MIUI Bluetooth entries and the rest are not covered.

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

  5. Disclosure of 7 Android and Google Pixel vulnerabilities

    Oversecured discloses seven Android vulnerabilities, two of them Pixel-specific, all reported to Google and fixed except one low-severity WebView case. They are the Camera geolocation leak (CVE-2024-0017), a VPN bypass list change (CVE-2023-21383), a Bluetooth permission check flaw (CVE-2024-34719), the WorkSource parcel mismatch (CVE-2023-20963, exploited in the wild by the Pinduoduo app), Device Admin HTML injection (CVE-2021-0600) and a ContentProvider.openFile() caller-context bypass (CVE-2023-21292). Each has root cause and PoC code.

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

  6. 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

  7. Google Touts Powerful Cybersecurity Capabilities in Gemini 4 Carbon Model

    Gemini 4 Carbon is a Google frontier model announced with restricted access for cyber defenders through the Fairwind Program (650+ organizations). Google reports 88.2% on SEC-bench Pro, 54.8% on ExploitGym and 71.0% on CWE-bench, ahead of GPT-6 Astra and Claude models, with no guardrails. It also cites prompt injection and cheating-resistance results, and pricing of $2/$10 per million tokens.

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

  8. SEAL: Sealed Queries for Local Sanitization against Indirect Prompt Injection

    SEAL is a defense against indirect prompt injection for local LLM agents. It learns a soft prompt and scoring readout offline, then uses a frozen task model to score and delete injected tokens from tool outputs, with queries built from trusted initial context. On AgentDojo, attack success falls from 34.6% to 0.1% and Joint rises from 51.4% to 77.5%, using about 127x fewer defense tokens than PISanitizer.

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

  9. 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

  10. Addendum to GPT-6 Luna System Card: October 28, 2026 Update

    Addendum to the GPT-6 Luna system card for the model update of 29 October 2026 (the title says October 28). OpenAI keeps the High rating for cybersecurity and biological/chemical capability under its Preparedness Framework. It reports ExploitBench 46.19% and SEC-Bench Pro 51.75% (GPT-6 Astra: 85.4%), higher multiturn jailbreak defender success than the October 7 version, and GPT-Red prompt-injection results. It also reports weaker factuality and dual-use biology refusal.

    deploymentsafety.openai.compaperPublished and added 29 Oct 2026πŸ›‘οΈ Security

  11. Rohan Paul (@rohanpaul_ai) on X

    Rohan Paul's X post summarizes the paper "Log-To-Leak: Prompt Injection Attacks on Tool-Using LLM Agents via the Model Context Protocol", from TikTok researchers. It reports that MCP-using agents often finish the requested task, then quietly call an attacker-controlled logging tool that records the query, server reply and final answer. The attack works through natural-language tool descriptions that agents read when choosing and ordering tools. The visible text is truncated.

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

  12. Inside KeyDrift: Analyzing historical UAT-11473 activity on Cisco SD-WAN

    KeyDrift is a custom malware framework used by UAT-11473, which exploited CVE-2026-20127 in Cisco SD-WAN Catalyst Controller to gain access. Talos analyzes PolyFlame (memory-resident vdaemon injection, recvfrom hook, TinyShell-style backdoor, intermediate C2) and LittleFilch (SSL_read hook that extracts and RSA-encrypts keying material). It reports infrastructure overlap with Volt Typhoon's Silent Train, plus patch guidance and Snort SIDs.

    blog.talosintelligence.comwriteupPublished and added 28 Oct 2026πŸ›‘οΈ Security

  13. CVE-2026-101767: Critical Oracle EBS SQL Injection Actively Probed in the Wild

    CVE-2026-101767 is a CVSS 9.8 unauthenticated SQL injection in Oracle E-Business Suite's Application Object Library, reachable through the /OA_HTML/AppsTCFServer servlet (GanttDataServer) and chainable to OS command execution. It affects versions 12.2.3 to 12.2.15 and was fixed in the October 2026 Critical Patch Update. Horizon3.ai found it, and Defused saw probing on honeypots on 27 October 2026. Interim mitigation is removing the servlet from the URL firewall allowlist.

    orca.securityadvisoryPublished and added 28 Oct 2026πŸ›‘οΈ Security

  14. Hitachi Energy CoreTec Product

    CISA advisory ICSA-26-302-03, republished from Hitachi Energy PSIRT 8DBD000258, covers OS command injection (CVE-2026-13162) and the Dirty Frag vulnerability (CVE-2026-43284) in Hitachi Energy CoreTec. CoreTec5 up to 3.4.0 and 5.0.0 are affected by both, and CoreTec4 up to 3.4.0 by CVE-2026-13162. The advisory was released 27 October 2026 and lists generic ICS mitigations. SSVC rates exploitation as none.

    cisa.govadvisoryAdded 29 Oct 2026, published 28 Oct 2026πŸ›‘οΈ Security

  15. 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

  16. Gemini 4 Carbon

    Gemini 4 Carbon is Google's frontier model, announced with cybersecurity results: 88.2% on SEC-bench Pro (finding vulnerabilities), 54.8% on ExploitGym (exploitation) and 71.0% on CWE-bench (patching). Google reports 0.0% attack success on Gray Swan's indirect prompt injection benchmark. Access starts with a subset of cyber defenders through the Fairwind Program. Pricing is $2 per million input tokens and $10 per million output tokens.

    blog.googlearticleAdded 29 Oct 2026, published 28 Oct 2026πŸ›‘οΈ Security

  17. Gemini 4 Carbon: Our next frontier model

    Gemini 4 Carbon is Google DeepMind's frontier model, announced with a focus on cyber defense. DeepMind reports 88.2% on SEC-bench Pro (finding vulnerabilities), 54.8% on ExploitGym (exploitation) and 71.0% on CWE-bench (patching), run without guardrails. It also reports 0.0% attack success on Gray Swan's indirect prompt injection benchmark. Access starts with a subset of cyber defenders via the Fairwind Program.

    deepmind.googlearticlePublished and added 28 Oct 2026πŸ›‘οΈ Security

  18. Hackers Start Probing Fresh Oracle EBS Vulnerability

    CVE-2026-101767 is a CVSS 9.8 unauthenticated SQL injection in the Application Object Library of Oracle E-Business Suite, patched in Oracle's October 2026 CPU and reported by Horizon3.ai. Defused decoys logged the first exploratory attempts on 27 October 2026, and the flaw could lead to remote code execution. The article recalls CVE-2026-46817 attacks in June and last year's Cl0p zero-day campaign against EBS.

    securityweek.comarticlePublished and added 28 Oct 2026πŸ›‘οΈ Security

  19. Post-Training Large Language Models with LLMON

    LLMON (LLM Object Notation) is a framework that separates instructions from data and requires explicit identifier-based execution. The authors post-train Granite-4.1 3B and 8B base models with SFT then RL on a 4.6B-token structured corpus covering general, RAG and tool-calling data, with distractor variants. Attack success rates on indirect prompt-injection benchmarks fall from 53-100% to 0.02-5.6%, and general capability is preserved. Attention-based metrics diagnose failures per transformer layer.

    arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026πŸ›‘οΈ Security

  20. Post-Training Large Language Models with LLMON

    LLMON (LLM Object Notation) is a framework that separates executable instructions from passive data and requires explicit identifier-based execution. The paper post-trains Granite-4.1 3B and 8B base models on a 4.6B-token corpus of general, RAG and tool-calling data with distractor variants, using SFT then RL. Attack success rates on indirect prompt-injection benchmarks fall from 53-100% to 0.02-5.6%, with general capabilities preserved. It also adds attention-based per-layer diagnostics.

    arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026🧠 AI

  21. Buchi Reddy B (@buchireddy) on X

    Buchi Reddy B's X thread comments on Forever Security's research (Gal Weizman, Omer Samet) on coding agents. A web page silently writes a fake AGENTS.md or CLAUDE.md into a Downloads folder, and Codex and Claude Code follow it as project rules. Codex then wrote an attacker's MCP server into the machine-wide config, so one injection becomes a standing connection for every session. It asks whether teams inventory runtime MCP connections against approved lists.

    x.comthreadAdded 28 Oct 2026, published 27 Oct 2026πŸ›‘οΈ Security

  22. Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness

    Heads of Security (HoS) is a prompt injection defense that enforces instruction-data separation with learned per-head attention gates, redistributing attention between trusted and untrusted tokens. Evaluated on Llama-3.3-70B-Instruct and GPT-OSS-20B against SecAlign++ and ASIDE. The black-box RL-Hammer attack reaches 97% ASR on GPT-OSS-20B and 85% on SecAlign but 10% on HoS. The white-box Claudini attack needs 3 times more FLOPs on HoS. HoS keeps base-model utility in few-shot settings, where SecAlign and ASIDE degrade.

    arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026πŸ›‘οΈ Security

  23. Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness

    Heads of Security (HoS) is a prompt injection defense that trains a small set of per-head attention gates to shift attention between trusted and untrusted tokens, separating instructions from data. Tested on Llama-3.3-70B-Instruct and GPT-OSS-20B, the black-box RL-Hammer attack reaches 10% ASR on HoS versus 97% on base GPT-OSS-20B and 85% on SecAlign. HoS keeps base utility in few-shot settings, where SecAlign and ASIDE degrade.

    arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

  24. Nicholas Martin (@ndgmlondon) on X

    X thread started by Nicholas Martin (#IAM) advising that MCP tool permissions be verified and scoped session tokens used to enforce least privilege against indirect prompt injection. Replies argue that token scoping does not solve the confused deputy problem, because an injection borrows the agent's legitimate authority. They recommend per-task tokens with short expiry, with the grant logged beside the call, and raise MCP server dependency supply-chain risk.

    x.comthreadAdded 28 Oct 2026, published 27 Oct 2026πŸ›‘οΈ Security

  25. What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection Attacks

    What Victims Take Away is an October 2026 arXiv paper analysing 563,349 Tensor Trust attack records to see how players reuse prompt injections they received. Within a week, targets reused 10.0% of attacks that broke their defense, versus 0.03% of matched attacks. Breaches were followed by defense changes that cut same-family attack success by 24.5 points. Received texts made up 23.2% of successful hijacks. The authors propose that AI security tools describe techniques without disclosing full attack text.

    arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026πŸ›‘οΈ Security

  26. AGTP (@AGTPinsights) on X

    AGTP's X thread summarizes Meta's Muse Spark 1.3 Evaluation Report. Prompt injection was tested on Exponential Security Labs' RepoInject v1 and BrowserInject v1 and on Gray Swan's IPI Arena, with robustness said to be on par with GPT-5.6 Sol. It also covers chain of thought controllability evals, PostTrainBench under Loss of Control, and Handshake's pre-release human red teaming. It notes the Midas Project's criticism of Muse Wonder's missing safety report.

    x.comthreadAdded 27 Oct 2026, published 26 Oct 2026πŸ›‘οΈ Security

  27. AGTP (@AGTPinsights) on X

    Thread summarizing Meta's Muse Spark 1.3 Evaluation Report, the safety write-up for the model released on September 2, 2026. It covers prompt-injection results on Exponential Security Labs' RepoInject v1 and BrowserInject v1 and Gray Swan's IPI Arena, chain-of-thought controllability evals, PostTrainBench under Loss of Control, and Handshake's human red teaming. It also notes The Midas Project's criticism that Muse Wonder still has no safety report, and the Muse Spark Open rollout (816B total, 42B active parameters).

    x.comthreadAdded 27 Oct 2026, published 26 Oct 2026🧠 AI

  28. Log-To-Leak: Prompt Injection Attacks on Tool-Using LLM Agents via the Model Context Protocol

    Log-To-Leak is a prompt-injection attack on tool-using LLM agents that abuses Model Context Protocol tool metadata to trigger an attacker-controlled logging call after the last legitimate call, leaking the user query, server name, server response and agent response. Evaluated on five MCP servers and four agents, it reaches 62.64-100% attack success with 76.55-95.64% logging accuracy. Three defenses leave over 55% residual ASR on GitHub MCP with GPT-4o.

    arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026πŸ›‘οΈ Security

  29. Then there is prompt injection, a malicious email, ...: The Wild Wide West of OpenClaw Agentic System Security

    An empirical study of security concerns in the OpenClaw AI personal assistant framework, using 25K+ posts from 13 subreddits (162 security-relevant) and 358 security-tagged GitHub issues (180 retained). It maps 521 CWE instances across 59 weakness types, concentrated in access control, sensitive-data exposure, injection and unsafe execution. It extracts 543 practitioner mitigations into seven strategies and reconstructs a sensitive-data exposure path with dummy secrets.

    arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026πŸ›‘οΈ Security

  30. The Pwn Request Reckoning: What Still Works Against GitHub Actions

    The Pwn Request Reckoning is a Wiz post updating the GitHub Actions pull_request_target threat model for 2026. It covers what GitHub's checkout protections, read-only cache tokens and event policies block, and what still works. Remaining paths: SHA-pinned pre-backport actions/checkout, custom checkout scripts, issue_comment and repository_dispatch triggers, script injection, artifact poisoning, self-hosted runner state and allow-unsafe-pr-checkout. It ends with grep and zizmor audit steps.

    wiz.ioarticlePublished and added 26 Oct 2026πŸ›‘οΈ Security

Showing 30 of 462

Show more