Search: “esx”

GuardBreaker: Derailing AI-assisted malware analysis with a code comment

ESET names 'GuardBreaker': UAC-0099 embeds a nuclear-weapon question in VBScript comments to trip LLM scanner guardrails during analysis of its MATCHBOIL loader.

ESET researchers observed the Russia-aligned group UAC-0099 inserting a decoy prompt injection into a VBScript used to install its MATCHBOIL loader in an attack against a Ukrainian target, aiming to make LLM-based code scanners refuse and stop inspecting the file. The comment triggers safety guardrails with a request about building a nuclear weapons but has no runtime effect. Similar LLM-thwarting tricks have appeared in malicious PyPI and npm packages reported by Socket and StepSecurity. ESET recommends multi-model cross-validation of AI-assisted analysis and treating missing LLM output as requiring further checks.

ESET WeLiveSecurity·updated Sep 11, 14:32 UTC · 5d ago·first Sep 10, 09:00 UTC · 6d agoAI safety & security 3 sources1

Three Critical VMware Flaws Allow Auth Bypass, Code Execution, and VM Escape

Broadcom patches three critical VMware flaws, including vCenter auth bypass CVE-2026-59309 and an ESX VM escape, urging immediate updates.

Broadcom issued emergency updates for VMware ESX, vCenter, Workstation and Fusion, fixing five flaws including CVE-2026-59309 (CVSS 9.8 authentication bypass in vCenter) and CVE-2026-59310 (CVSS 9.8 directory traversal allowing code execution). CVE-2026-47876 (CVSS 9.3) is an out-of-bounds write in the ESX VMXNET3 adapter that permits a virtual machine escape to the host. Broadcom found no evidence of exploitation, but Defused Cyber reported a spike in vCenter scanning on August 11, 2026 consistent with exploitation attempts against CVE-2026-59309 (VMSA-2026-0006). No workarounds are available.

The Hacker News·Aug 11, 15:42 UTC · Aug 11, 2026VulnerabilityCVE-2026-59309CVE-2026-59310CVE-2026-47876+2 CVEs1

Mozilla security advisory (AV26-868)

Canada's Cyber Centre reports Mozilla vulnerabilities fixed in Firefox 155 and Firefox ESR 115.40, 140.15, and 153.2.

Canadian Centre for Cyber Security advisory AV26-868, dated September 1, 2026, notes vulnerabilities in Firefox (versions prior to 155) and Firefox ESR (prior to 115.40, 140.15, and 153.2). The bulletin links to Mozilla's security advisories and urges users and administrators to update. No CVE identifiers or exploitation details are provided.

Canadian Centre for Cyber Security·Sep 1, 18:14 UTC · 15d agoAdvisory

Vali Cyber ZeroLock 5 brings MFA to the hypervisor command line

Vali Cyber released ZeroLock 5 adding CLI-MFA to protect VMware ESX and Linux hypervisors from insider threats and stolen credentials.

ZeroLock 5 introduces CLI-MFA, requiring time-based one-time passwords for file access, program execution, and network operations at the hypervisor command line on ESX and Linux hosts. The release targets ransomware and nation-state actor pivots to virtualization infrastructure, exemplified by ShinyHunters' shinysp1d3r RaaS platform that encrypts VMware ESX environments using stolen credentials and SSH keys. It adds remotely deployable collectors, reusable multi-site deployment blueprints, SIEM forwarding presets, and support for VCF and ESX 6.7+.

Help Net Security·Sep 2, 00:00 UTC · 14d agoTools

Mozilla security advisory (AV26-924)

Canadian Cyber Centre advisory AV26-924 lists vulnerabilities in Firefox 156 and Firefox ESR 115.41, 140.16, and 153.3, urging users to update.

The Canadian Centre for Cyber Security issued advisory AV26-924 on September 15, 2026, covering vulnerabilities in Firefox versions prior to 156 and Firefox ESR versions prior to 115.41, 140.16, and 153.3. Users and administrators are encouraged to review Mozilla's security advisories and apply updates. No exploitation details are included in the advisory.

Canadian Centre for Cyber Security·Sep 15, 18:54 UTC · 1d agoAdvisory

Vulnerabilities fixed in libxml2-2.15.4

libxml2 2.15.4 fixes an out-of-bounds read in xmlregexp's NXT macro plus several integer overflow and parsing flaws.

libxml2 2.15.4 (released September 1, 2026) includes security fixes: an out-of-bounds read in the xmlregexp NXT macro, missing overflow checks in dict.c, uri.c, and valid.c, an integer overflow in xmlIO before the writecallback, and an overflow check in xmlXPtrEvalXPtrPart. The release also propagates parseFlags in xmlXIncludeProcess and xmlXIncludeProcessTree. No CVE identifiers, exploitation, or severity ratings are given in the announcement.

oss-security·Sep 4, 21:23 UTC · 11d agoVulnerability

AdamX: Cosine similarity meets gradient descent

Researchers propose AdamX, a cosine-similarity-based first-order optimizer with variance rectification that matches Adam-class convergence across benchmark datasets and architectures.

The paper introduces AdamX, a first-order optimizer that uses cosine similarity as an adaptive mechanism for controlling update magnitudes, plus a variance rectification scheme for smoother optimization early in training. The method is described as scalable, model-agnostic, and straightforward to integrate into existing pipelines. Empirically, AdamX shows competitive convergence rates measured by epochs to reach performance thresholds under a fixed hyperparameter budget, with code and experiments released on GitHub.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:42 UTC · 6d agoAI research

Show HN: LLM Attention Visualization

A developer released a browser-based tool that visualizes which past tokens influence each LLM output token using aggregated, value-weighted attention scores.

A Show HN project presents a React application built on Transformers.js that renders per-token attention influence by aggregating attention weights scaled by value-vector magnitudes across all attention heads and layers. To expose internal tensors, the author instrumented the ONNX computation graph, hosted a modified model on Hugging Face, and pre-generated prompts to avoid long model downloads in the browser. Demos with a 600-million-parameter model show how verbatim copying draws heavily on source tokens and how single outputs blend information from multiple phrases.

Hacker News · AI·Sep 8, 16:59 UTC · 8d agoAI tools & infraHN 41↑ · 9 comments

Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:38 UTC · 12d agoAI research

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

The Next Model Won’t Fix This: Three AppSec Imperatives From Black Hat USA 2026

Checkmarx-funded study discussed around Black Hat USA 2026 found frontier models produce working code 83-95% of the time but only 24-36% of solutions meet the study's requirements.

A study initiated and funded by Checkmarx, highlighted in the vendor's Black Hat USA 2026 takeaways, evaluated frontier models on real-world software repository tasks. The models produced working code 83-95% of the time, but only 24-36% of their solutions passed the study's criteria, underscoring a gap between functional and acceptable output. Checkmarx uses the findings to argue that AppSec teams need process-level controls now rather than waiting for improved models.

Checkmarx·Aug 17, 13:55 UTC · Aug 17, 2026AI safety & security

SenseNova-U1.5: Towards Native Unified Visual Intelligence

SenseTime releases SenseNova-U1.5, an 8B-MoT encoder-free multimodal model unifying visual understanding, reasoning, and generation with native 4K resolution.

SenseNova-U1.5 is an 8B mixture-of-transformers multimodal model with an encoder-free, VAE-free architecture that understands, reasons about, and generates visual content at native resolutions up to 4K. Post-training optimizes specialized experts for visual aesthetics, bilingual text rendering, infographic generation, and image editing, consolidated through multi-expert on-policy distillation. Evaluations report gains in image fidelity, text rendering, multi-reference editing, and instruction following. The team plans to open-source training code including supervised fine-tuning, reinforcement learning, and on-policy distillation.

Hugging Face daily papers·Sep 9, 20:00 UTC · 6d agoModel release

Linux Detection Engineering - Local Privilege Escalation

Elastic details a layered detection framework for Linux local privilege escalation, covering 2026's copy-on-write bug wave and LLM-assisted discovery.

Elastic Security Labs describes how most Linux local privilege escalations share a common host flow — an unprivileged process launched from a writable path becoming root — and proposes layered detections combining general outcome-based rules with per-technique rules in Elastic Defend and Auditd. It tracks 13 recent LPE disclosures, seven of which share a copy-on-write/zero-copy bug class, including Copy Fail, DirtyFrag, Fragnesia, DirtyDecrypt, DirtyClone, pedit COW, and RefluXFS. Qualys attributes RefluXFS to an LLM-assisted research effort with Anthropic using Claude Mythos Preview, and another bug is credited to an LLM-assisted workflow. Detection and endpoint rules are published in Elastic's detection-rules and protections-artifacts repositories.

Elastic Security Labs·Sep 11, 00:00 UTC · 5d agoResearch

Scans for Proxmox Servers, (Wed, Sep 9th)

SANS observed increased scanning and brute-force attacks on port 8006 targeting unsupported Proxmox VE 7 servers after a recent vulnerability advisory.

SANS Internet Storm Center reported a bump in scans for port 8006 and additional brute-force traffic against Proxmox VE servers following a Proxmox advisory about a vulnerability in older releases. The flaw only affects Proxmox VE version 7, which has been unsupported for a couple of years. Observed activity includes POST requests to /api2/json/access/ticket with root@pam usernames and weak passwords, fingerprinting requests, and POSTs to /api2/extjs/access/ticket; failed logins return 401 status codes and non-TLS POSTs return 308 redirects.

SANS Internet Storm Center·Sep 9, 17:46 UTC · 7d agoExploit / PoC

Retrofitting Code Using LLMs to Support Exceptional Behavior

EXCODER combines static/dynamic analysis with LLMs to retrofit exception-handling code, achieving 85.92% pass@1 with Qwen 2.5 Coder 32B on Java benchmarks.

The paper introduces the task of retrofitting existing code with Exception Related Code (throw statements, guarding conditions, try/catch blocks) so that given Exceptional Behavior Tests pass. EXCODER performs context engineering by integrating static and dynamic program analysis output with LLMs; it was evaluated on a benchmark built from 304 methods across 75 GitHub Java projects. Combined with Qwen 2.5 Coder 32B, EXCODER achieves pass@1, 5, and 10 rates of 85.92%, 86.18%, and 86.51%, roughly 13 percentage points over baseline, and manual inspection reveals remaining limitations.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:18 UTC · 7d agoAI research1

llm 0.34

Version 0.34 of Simon Willison's llm CLI adds response-duration metrics to log output, plus bug fixes and faster log querying.

The open-source llm command-line tool for interacting with large language models released version 0.34. The headline change adds response duration in milliseconds and human-readable form to llm logs --usage Markdown output, plus a new duration_ms field in llm logs --short. The release includes several contributed bug fixes and a significant performance improvement to llm logs, alongside the related llm-openrouter 0.7.1 release.

Simon Willison·Sep 2, 19:23 UTC · 14d agoAI tools & infra1

Chrome, Firefox Updates Patch 115 Vulnerabilities

Google and Mozilla patch 115 vulnerabilities across Chrome 153 and Firefox 156, including three critical Chrome bugs; no exploitation reported.

Google's Chrome 153 (153.0.8010.47/.48 for Windows/macOS) fixes 42 flaws, including three critical: CVE-2026-91726, an out-of-bounds read in WebGL, and use-after-free bugs CVE-2026-91721 and CVE-2026-91749 in Internals and Workers. Mozilla's Firefox 156 resolves 73 vulnerabilities, including 29 high-severity use-after-free and privilege escalation issues, with related fixes in Thunderbird and Firefox ESR branches. Neither vendor reports any of the defects being exploited in the wild.

SecurityWeek·10:28 UTC · 9h agoVulnerabilityCVE-2026-91726CVE-2026-91721CVE-2026-91749

HPE security advisory (AV26-873)

Canada's Cyber Centre relays HPE advisories covering multiple vulnerabilities in Aruba AOS-CX switches and Fabric Composer, urging updates.

The Canadian Centre for Cyber Security issued advisory AV26-873 noting multiple vulnerabilities in HPE Aruba Networking AOS-CX and Fabric Composer. Affected versions span AOS-CX releases through branches 10.10, 10.13, 10.16, 10.17, and 10.18, and Fabric Composer through 7.3.3. Administrators are urged to review HPE bulletins HPESBNW05133 and HPESBNW05134 and apply available updates.

Canadian Centre for Cyber Security·Sep 2, 13:38 UTC · 14d agoAdvisory

Redis security advisory (AV26-859)

Canada's Cyber Centre flagged a use-after-free in Redis 8.0's TLS handling, fixed in versions 8.2.9, 8.4.6, 8.6.6, 8.8.2, and 8.10.1.

Canada's Cyber Centre issued advisory AV26-859 for a use-after-free bug in Redis's tlsProcessPendingData() pending-list iteration, affecting the Redis 8.0 series. Fixed releases include 8.2.9, 8.4.6, 8.6.6, 8.8.2, and 8.10.1. Users and administrators are encouraged to review vendor guidance and update. No CVE identifier or exploitation details were provided in the advisory text.

Canadian Centre for Cyber Security·Aug 28, 14:34 UTC · 19d agoAdvisory

ShieldFont fights AI scraping by handing crawlers the wrong words

Help Net Security·Aug 7, 00:00 UTC · Aug 7, 2026Industry

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 · 7d agoResearch1

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:32 UTC · 12d agoAI research1

Erlang security advisory (AV26-870)

Canada's Cyber Centre warns that multiple Erlang/OTP versions are affected by vulnerabilities and urges administrators to apply updates.

The Canadian Centre for Cyber Security issued advisory AV26-870 on September 1, 2026, noting vulnerabilities affecting Erlang OTP across multiple versions. The bulletin contains no CVE identifiers or exploitation details and directs users and administrators to Erlang's own security advisories to apply necessary updates.

Canadian Centre for Cyber Security·Sep 1, 18:50 UTC · 15d agoAdvisory

GNU security advisory (AV26-923)

Canadian Cyber Centre advisory AV26-923 flags a stack overflow in GNU libextractor before v1.15 via OLE2 files.

The Canadian Centre for Cyber Security issued advisory AV26-923 on September 15, 2026, covering CVE-2026-91752, a stack overflow vulnerability in GNU libextractor versions prior to 1.15 triggered via OLE2 file parsing. The Cyber Centre encourages users and administrators to review the provided links and apply necessary updates as they become available.

Canadian Centre for Cyber Security·Sep 15, 15:10 UTC · 1d agoAdvisoryCVE-2026-91752

Meet Redis LangCache: A Managed Semantic Cache That Cuts LLM API Costs by Up to 90% and Returns Cache Hits Up to 15x Faster

Redis launches LangCache, a managed semantic cache matching LLM prompts by meaning, cutting API costs up to 90% and returning hits up to 15x faster.

Redis LangCache is a fully managed semantic caching service in public preview on Redis Cloud, accessed via a REST API with Python and JavaScript SDKs. It embeds incoming prompts, vector-searches stored entries, and returns a cached response when similarity clears a configured threshold, skipping the LLM call entirely. Redis claims up to 90% cost savings and up to 15x faster cache hits; a demo run showed 0.37 seconds versus 2.232 seconds direct inference (about 6x) with zero LLM tokens. Customer Mangoes.ai reports a 70% hit rate, 70% lower LLM spend, and 4x faster responses on a patient-care voice app.

MarkTechPost·Sep 10, 22:34 UTC · 5d agoAI tools & infra

Mistral X Mozilla: Private, Multilingual AI Browsing

Mistral and Mozilla partnered to power Firefox's Smart Window AI browsing assistant in France and North America, with zero data retention.

Mozilla's Firefox Smart Window (beta) AI browsing assistant is now powered by Mistral models for users in France and North America, with the UK and Germany expected later this year. Conversations are not saved on Mozilla's servers by default, and Mistral agreed to zero data retention. Both companies frame the partnership as advancing open-source, privacy-first, and regionally fine-tuned AI, with models trained on regional languages, dialects, and cultural context.

Hacker News · security·updated 15:01 UTC · 4h ago·first 08:08 UTC · 11h agoAI industry 2 sourcesHN 35↑ · 8 comments

An Empirical Security Analysis of Open-Source Software Used in Onboard Satellite Systems

Study of 126 onboard satellite OSS repositories finds 2,827 security findings, 72% medium severity or higher, dominated by memory safety and code quality weaknesses.

Researchers performed an empirical security analysis of 126 public repositories of open-source software used in onboard satellite systems using SBOM generation, software composition analysis, static application security testing, infrastructure-as-code analysis, and secret scanning. After cleaning and deduplication the pipeline produced 2,827 findings, with medium-severity findings accounting for 49% and 72% classified medium or higher. A CWE-based taxonomy mapped all findings to eight weakness families, with Memory Safety and Code Quality dominating, followed by Input Validation and Injection. Project-developed code accounted for 81.4% of findings, though external dependency code remained relevant; findings do not establish mission-specific exploitability.

arXiv cs.CR·Sep 14, 11:54 UTC · 2d agoResearch1

Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs

Developer launches Engrim, an open-source local-first SQLite memory engine giving AI CLI agents persistent memory.

Engrim, shared on Hacker News (89 points), is a universal, local-first memory layer built on SQLite for AI CLI tools. It targets agent-style CLI applications that need durable cross-session memory without cloud dependencies. Details beyond the repository description were not provided in the source text.

Hacker News · AI·Sep 7, 04:49 UTC · 9d agoAI tools & infraHN 89↑ · 53 comments2

[Control Systems] Siemens security advisory (AV26-864)

Siemens fixed a vulnerability in Element maps-ng V47-V49 (SSA-682041); Canada's Cyber Centre urges administrators to apply the updated releases.

Siemens advisory SSA-682041 addresses a vulnerability affecting Element maps-ng V47 prior to V47.12.3, V48 prior to V48.11.3, and V49 prior to V49.16.1. Canada's Cyber Centre republished the notice (AV26-864) encouraging users and administrators to review the vendor links and apply the necessary updates. No CVSS score or exploitation details were provided in the bulletin.

Canadian Centre for Cyber Security·Aug 31, 15:59 UTC · 16d agoAdvisory

Attackers conceal phishing lures using invisible Unicode characters

Threat actors use invisible Unicode characters (ASCII smuggling) to hide phishing lures and evade email security filters.

Threat actors have adopted the ASCII smuggling technique in phishing campaigns, embedding invisible Unicode characters in emails to conceal malicious lures. The approach is designed to evade email security filters that scan for visible phishing indicators. The report gives no victim counts or named campaigns.

BleepingComputer·Sep 6, 14:23 UTC · 10d agoPhishing & fraud in the wild

Any user process can escalate to root

A disclosed local privilege escalation flaw allows any user process to escalate to root on the affected system.

A Lobsters-linked security write-up describes a vulnerability in which any user process can escalate its privileges to root. The feed text provides no product name, CVE identifier, CVSS score, or exploitation details, limiting available detail. Local privilege escalation flaws are commonly chained with other issues for full system compromise, so defenders should review the full write-up for affected versions and patches.

Lobsters · security·Aug 31, 13:46 UTC · 16d agoVulnerability