Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
Metasploit Framework's automated pipeline refreshed its module metadata file, a routine repository maintenance commit introducing no new modules or exploits.
An automated Metasploit Framework commit updated module_metadata_base.json, the metadata database consumed by module tooling. The change is routine maintenance and contains no new exploit modules or vulnerability content.
Metasploit Framework automatically updates its module metadata JSON in routine maintenance commit.
The Metasploit Framework repository received an automatic update to module_metadata_base.json, the metadata file that tracks module information. No specific new vulnerability, exploit module, or feature is described in the commit message. This is routine repository maintenance rather than a notable security event.
Routine automated Metasploit Framework commit updates module_metadata_base.json with new module metadata.
The Metasploit Framework repository received an automated commit updating module_metadata_base.json, the file that tracks module metadata for the framework. This is routine maintenance accompanying new or updated exploit modules rather than a standalone disclosure. No vulnerability details, CVEs, or exploitation evidence are included.
Routine automated Metasploit Framework commit updating module metadata, with no disclosed vulnerability or exploitation activity.
The Metasploit Framework repository received an automatic update to its module_metadata_base.json file. The commit text contains no vulnerability details, CVE references, or new exploit modules. This is routine maintenance activity on the open-source penetration testing framework.
Metasploit Framework pushed an automated update to its module_metadata_base.json module metadata file.
This repository commit is an automated update to the Metasploit Framework's module_metadata_base.json file. No new modules, vulnerabilities or exploit changes are described in the commit message.
Automated Metasploit Framework commit refreshes module_metadata_base.json with no new exploit content or vulnerability details.
An automated commit updated module_metadata_base.json in the Rapid7 Metasploit Framework repository. The change reflects routine metadata maintenance and introduces no new modules, exploits, or vulnerability information.
Automated Metasploit Framework commit updating module_metadata_base.json to reflect newly added or modified exploit modules.
An automated commit updated module_metadata_base.json in the rapid7/metasploit-framework repository. The routine maintenance change reflects newly added or modified Metasploit modules and carries no standalone security significance.
Rapid7 updated a Metasploit auxiliary scanner module that detects XML external entity injection in Elasticsearch via Apache Tika.
A commit in the Metasploit Framework updated modules/auxiliary/scanner/http/elasticsearch_tika_xfa_xxe.rb, an auxiliary scanner module. The module targets XML external entity (XXE) injection in Elasticsearch through Apache Tika, and was co-authored by jheysel-r7. The terse commit message contains no additional details, CVE references, or exploitation notes.
Rapid7's weekly Metasploit roundup highlights newly added exploit modules, payloads, and scanners in the Metasploit Framework.
Rapid7 published its weekly Metasploit Wrap Up summarizing community contributions to the Metasploit Framework, including new exploit modules, payloads, and scanners. No article text was available; the post serves as a routine digest for practitioners tracking newly packaged modules.
A Metasploit Framework exploit module was updated to work reliably against several 12.4.3 software versions.
A commit to the Rapid7 Metasploit Framework repository adjusts an existing exploit module so it functions against several 12.4.3 version targets. The change is described as getting the module working against those versions, indicating reliability or compatibility improvements. The commit text does not describe a new vulnerability, exploitation campaign, or affected victims.
Metasploit 6.5 ships 13 new modules including RCEs for SonicWall SMA1000, Ghost CMS, Joomla JCE and Langflow, plus a Linux kernel LPE.
Rapid7's Metasploit wrap-up covers the 6.5 release, which adds 13 new modules, including remote code execution exploits for WordPress WP2Shell, Ghost CMS, Joomla JCE, Langflow, OpenCATS, Pterodactyl Panel, SonicWall SMA1000, Ray Dashboard and a Pix-for-WooCommerce plugin. The Fragnesia Linux kernel local privilege escalation (CVE-2026-46300) also landed. The release introduces HTTP malleable profiles, MCP functionality, Linux multi-fetch payloads and improved Windows on ARM support.
An open methodology toolkit measures whether transformer language models contextualize fixed word forms across domains using bridge forms and layer-wise silhouette analysis.
The manual documents an open toolkit built around 'bridge forms' - identical written words recurring across two or more subject domains with a different sense in each - to test whether transformer language models individuate word occurrences by context beyond the embedding layer. It covers declarative specification of bridge forms, Wikipedia corpus acquisition, occurrence localization, layer-wise representation extraction, domain-pairwise silhouette measurement, and visualization, justifying each choice against failure modes such as sense contamination and subword-tokenization misalignment. It is a methodological and implementation reference and reports no empirical results.
Atlas delivers zero-knowledge proofs for HNSW semantic search, verifying RAG retrieval in under a second on SIFT1M and 2.0 seconds at 100M vectors.
Atlas lets a search provider prove that a query was answered correctly against a committed HNSW index without revealing the index, addressing provider deviations like truncation or bias. It combines offline preprocessing, a fixed-size-state restructuring of HNSW with a correctness proof, and timestep-tagged batching of per-step arguments. The system proves queries in under a second on SIFT1M and 2.0 seconds at 100 million vectors while preserving plaintext HNSW recall, and proven retrieval maintains end-to-end RAG answer quality at lower cost than prior verifiable retrieval systems.
Paper formalizes task-agnostic environment preprocessing, where agents study unfamiliar environments under a budget to build reusable artifacts for a frozen solver.
The paper formalizes task-agnostic environment preprocessing, where a studying system explores an environment under a budget and produces artifacts like indices, scripts, or procedural guidance for a frozen solver, without task examples or evaluation feedback. The authors compare unaided and archive-equipped meta-agents against fixed synthetic-practice and corpus-processing methods across six heterogeneous benchmarks. A meta-agent variant achieves the highest Avg@3 reward on five benchmarks, while fixed corpus processing remains best on the largest corpus benchmark. Studied artifacts reduce the test-time sampling needed to reach a given score, shifting computation from repeated test-time attempts to a pre-task study phase.
libxml2 2.15.4 patches two flaws including a heap buffer overflow in xmlDictAddQString tracked as CVE-2026-86137 and CVE-2026-86138.
libxml2 releases before 2.15.4 are affected by an integer overflow in xmlDictAddQString in dict.c that leads to a heap-based buffer overflow, tracked as CVE-2026-86137 and CVE-2026-86138. The oss-security post from Debian's Salvatore Bonaccorso flags the fixed release for downstream tracking. No exploitation is mentioned in the disclosure.
CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.
The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.
Microsoft released a Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework mapping threats to cloud-hosted web apps and serverless platforms.
Microsoft introduced the cloud web applications threat matrix, which organizes attack techniques for cloud-hosted web apps and serverless platforms using MITRE ATT&CK tactics, from resource development through impact. The framework covers attack paths spanning application code, managed runtimes, workload identities, and deployment pipelines, cataloging techniques such as subdomain takeover, code injection in connected repositories, compromised registry images, exposed admin interfaces, and serverless trigger injection. It builds on Microsoft's earlier Kubernetes and storage services matrices to help defenders identify visibility gaps, prioritize hardening, and plan investigations in cloud-native environments.
OpenAI's Codex desktop app bundles 1.7GB of runtimes including full Python, Node.js, Poppler, git, and LibreOffice binaries.
Blogger Simon Willison found that the OpenAI Codex desktop app (since rebranded to ChatGPT) keeps about 1.7GB in a ~/.cache/codex-runtimes/codex-primary-runtime folder, including full Python and Node.js installations plus native binaries for Poppler, git, and the LibreOffice office suite. Bundled skills in the plugins directory instruct Codex on how to find and use these binaries. The observation highlights the heavyweight local runtime stack shipped with agentic coding tools.
GeoNetwork patched two chained flaws (CVE-2026-63219, CVE-2026-58400) enabling unauthenticated RCE in government geospatial metadata catalogs.
Two flaws in the open-source GeoNetwork catalog chain into unauthenticated RCE: a missing authorization check on the formatter upload endpoint (CVE-2026-63219, CVSS 8.6) and an unsafe Saxon XSLT processor configuration allowing Java execution (CVE-2026-58400, CVSS 9.1). Fixes shipped in versions 4.4.12 and 4.2.17 on July 8, 2026, with details published August 31. Ethiack fingerprinted 121 internet-exposed vulnerable deployments across 39 countries, 89% tied to government or military agencies. No exploitation in the wild or KEV listing was reported at disclosure.
ANY.RUN integrates its interactive sandbox, IOC lookups, and STIX/TAXII threat feeds natively into SentinelOne for faster automated malware triage.
ANY.RUN and SentinelOne launched connectors that embed interactive sandbox analysis and threat intelligence into the SentinelOne console via Singularity Hyperautomation. Suspicious files and URLs from alerts are automatically submitted to the ANY.RUN sandbox, with behavioral verdicts and risk scores returned into alert notes. On-demand IOC lookups draw on sandbox history from 16,000 organizations and 700,000 analysts. A separate STIX/TAXII feed streams verified malicious IPs, domains, and URLs through the SentinelOne Marketplace TAXII Connect app.
Malicious versions of the Rust crate arrayref executed a compile-time backdoor, with infrastructure overlapping recent DPRK supply chain attacks on Mastra and axios.
Wiz researchers report that malicious versions of the arrayref Rust crate ran a backdoor during compilation, compromising developer build pipelines. The campaign's command-and-control infrastructure significantly overlaps with infrastructure used in recent DPRK supply chain attacks, including campaigns against Mastra and axios. Developers using affected crate versions should audit their builds and review dependencies.
Interpretability study traces how Qwen, Llama, and Gemma route query information and internal knowledge across layers when answering questions.
Researchers used layerwise interventions on hidden states to separate query-routing signals from target knowledge in language models, testing Qwen, Llama, and Gemma on country-continent questions with varied answer types. A pair-conditioned request direction strengthens before interventions alter downstream knowledge, opening a causal window while answer-supporting content is still forming. Trajectories differ by model: Gemma shows a partially overlapping mid-layer routing profile, while Llama has no sustained routing-effect window under the same gates.
AHLERT generates environment-aware threat hunting leads from CTI reports using ATT&CK-seeded knowledge graph retrieval, roughly doubling F1 over flat-RAG baselines.
The paper introduces AHLERT, a system that converts Cyber Threat Intelligence reports into structured, investigable hunt leads via hybrid dense retrieval with multi-hop traversal over an MITRE ATT&CK-seeded knowledge graph and ontology-grounded RAG constrained to the defender's assets. It is LLM-agnostic and evaluated on public CTI reports for well-known APTs across proprietary and open-weight models. Hybrid evidence retrieval with ontology grounding raises mean F1 from 0.44 to 0.85, and AHLERT attains the highest effectiveness score (~86.95%) versus off-the-shelf LLMs.
Python discloses CVE-2026-82049: tarfile extraction filters can be bypassed via hard links to symlinks, enabling file modification and content disclosure.
Stan Ulbrych disclosed CVE-2026-82049 on the Python security-announce list, forwarded to oss-security by Alan Coopersmith. The flaw affects CPython's tarfile extraction filters, which can allow file modification and content disclosure when archives contain a hard link to a symlink. Extraction-filter misuse can therefore bypass intended protections during archive unpacking.
OpenClaw 2.0 migrates AI agent sessions to SQLite, adds guided credential setup, and flags shared-session controls as not a security boundary.
OpenClaw 2.0, described as the largest update in the project's history, migrates sessions and transcripts into SQLite and adds guided setup that detects existing AI credentials from Codex, ChatGPT, Claude CLI sign-ins, API keys, and local Ollama or LM Studio models. The release expands multiplayer sharing while explicitly stating its permission controls are not tenant isolation or a security boundary, and that revoked access can briefly remain usable. Startup JavaScript requests fell from 140 to 45 and startup time from about 1.6 seconds to 575 milliseconds in simulated tests against a mocked Gateway. Automation wrappers must now inspect reported health because requesting --json does not waive risk acknowledgement.
Hugging Face published a tutorial on training and finetuning multi-vector embedding models using the Sentence Transformers library.
Hugging Face's blog walks through training and finetuning multi-vector embedding models with Sentence Transformers. Multi-vector approaches store multiple vectors per document to support late-interaction retrieval. The post is a practical guide for developers building retrieval pipelines with the library.
ZDI advisory ZDI-26-587 details a heap-based buffer overflow RCE (CVE-2026-19781, CVSS 7.8) in Ashlar-Vellum Cobalt VS file parsing, requiring user interaction.
The Zero Day Initiative released advisory ZDI-26-587 covering a heap-based buffer overflow in Ashlar-Vellum Cobalt's VS file parsing. A remote attacker can execute arbitrary code when the target opens a malicious file or visits a crafted page. ZDI rated the vulnerability CVSS 7.8 and assigned CVE-2026-19781.
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.
A blogger shows how to bulk-report distributed botnet IPs scraping a self-hosted Gitea instance to AbuseIPDB using bash, awk, and jq.
The author's self-hosted Gitea instance was scraped by distributed bots using random IPs worldwide and randomized, often nonexistent User-Agent strings, generating heavy request load for days. The write-up demonstrates filtering Traefik access logs (CLF and JSON) with grep, awk, and jq to extract offending IPs, tagging them with AbuseIPDB category 19 (Bad Web Bot), deduplicating them, and building a CSV for the Bulk Reporter tool. Reports can then be submitted through the AbuseIPDB bulk-report API, respecting the 5,000-report daily limit.