Search: “Elastic”

10 stories in the last 7d

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 LabsSep 11, 00:00 UTC · 6d agoResearch

Malware bypasses browser checks to force install Chrome, Edge extensions

Elastic Security Labs detailed KREMLIN, a Brazilian banking malware that silently installs malicious Chrome and Edge extensions, with 1,515 confirmed infections.

Elastic Security Labs analyzed KREMLIN, a toolkit used by a Brazilian operation in at least seven campaigns since May 2025 that impersonates 12 banks to trick users into opening a JavaScript file disguised as a bank receipt or invoice. After anti-sandbox checks, it downloads Node.js, persists via a scheduled task, and fetches payload locations from an Ethereum smart contract, hiding payloads in JPEG images on Internet Archive. The toolkit bypasses Chromium integrity mechanisms to install unapproved Chrome/Edge extensions masquerading as AVSync that steal cookies, keylog form input, capture screenshots, and intercept HTTP traffic, while recent campaigns deployed the REMCOS RAT and earlier ones Pulsar RAT. Elastic confirmed 1,515 infected systems, almost all in Brazil, and disrupted the campaign by registering an anti-sandbox canary domain; the linked wallet handled roughly 20,800 USDT incoming and 19,000 USDT outgoing.

BleepingComputerSep 16, 18:50 UTC · 9h agoMalware in the wild 3 sources

KREMLIN Banking Malware Bypasses Chrome Security to Steal Banking Sessions

Elastic Security Labs details KREMLIN, a Brazilian banking malware that implants malicious Chrome and Edge extensions by forging Chromium integrity values to steal banking sessions.

Elastic Security Labs tracks the KREMLIN banking malware operation as REF9334, active since at least May 2025 across seven campaigns primarily targeting 12 Brazilian banks. The malware is installed by a victim-run JavaScript loader, achieves scheduled-task persistence, and side-loads a malicious DLL via SentinelOne's SentinelMemoryScanner.exe. It modifies Chrome and Edge Secure Preferences files, enables developer mode, and regenerates Chromium MAC values to silently install extensions, while extracting browser encryption material including the newer App-Bound OSCrypt key. An Ethereum smart contract serves as a dead-drop resolver for C2 config; Elastic disrupted over 1,500 infections via a canary domain.

GBHackersSep 16, 05:33 UTC · 23h agoMalware in the wild 2 sources

The extension you never installed: KREMLIN forges Chrome's own integrity checks to steal banking sessions

Elastic details KREMLIN, a Brazilian banking malware whose malicious Chrome/Edge extension forges Chromium integrity checks to steal sessions.

Elastic Security Labs tracked operation REF9334 and its KREMLIN toolkit, a Brazilian banking malware campaign impersonating twelve banks across seven campaigns since May 2025. The infection chain uses multi-stage obfuscated JavaScript loaders with sandbox checks (file and process counting), scheduled-task persistence, and an Ethereum smart contract acting as a dead-drop resolver for C2 and payload URLs, abusing Archive.org for hosting. The malicious browser extension bypasses Chromium integrity mechanisms by manipulating Secure Preferences and regenerating required HMACs and App-Bound encrypted hashes. Threat Command disrupted over 1,500 infections by registering the kill-switch canary domain.

Elastic Security LabsSep 14, 00:00 UTC · 3d agoMalware in the wild

What’s next for CISA’s CDM program that gives cybersecurity tools to federal agencies

CISA officials outline future plans for the CDM program, emphasizing speed, automation, unified data, and data-driven federal risk management.

Speaking at an Elastic Federal Cyber Defense Breakfast, CISA officials described next steps for the Continuous Diagnostics and Mitigation (CDM) program that supplies cybersecurity tools to federal agencies. Acting deputy program manager Richard Grabowski named velocity, unification, and data-driven risk management as core goals, including a three-year roadmap to expand SIEM-as-a-Service. Federal CISO Mike Duffy urged aggregating demand across agencies, buying outcomes rather than products, and designing acquisition for continuous improvement. CISA's Matt House tied the program's evolution to post-SolarWinds needs for a government-wide common operating picture.

CyberScoopSep 15, 19:45 UTC · 1d agoPolicy & legal

Critical Dell ObjectScale Vulnerabilities Allows Malicious Users to Compromise the Affected system

Dell's DSA-2026-393 fixes ObjectScale/ECS flaws including unauthenticated deserialization RCE CVE-2026-70416 rated CVSS 10.0.

Dell advisory DSA-2026-393 (September 10, 2026) covers multiple flaws in ObjectScale and Elastic Cloud Storage (ECS). CVE-2026-70416 is a critical untrusted-data deserialization RCE (CVSS 10.0) in ObjectScale before 4.4.0.0 allowing unauthenticated remote code execution and full environment takeover, credited to researcher WinD39 (Huynh Dinh Vu). Additional issues include CVE-2025-43936 improper authentication (8.1), CVE-2026-26947 privilege management (6.7), CVE-2026-36591-style weak crypto CVE-2025-36591 (4.4), CVE-2026-76104 permission assignment DoS (5.5), plus third-party CVEs in Apache Log4j, liblzma, and the Linux kernel. Dell advises upgrading to version 4.4.0.0 or later (or 4.2.0.1) and restricting management interfaces until patched.

Cyber Security NewsSep 13, 14:43 UTC · 3d agoVulnerability CVE-2026-70416 CVE-2025-43936 CVE-2026-26947+8 CVEs2

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Study finds zero-shot time-series foundation models underperform on CGM forecasting; fine-tuned Chronos-Bolt cuts RMSE up to 18.4% and dietary context adds signal.

The paper evaluates time-series foundation models for continuous glucose monitoring forecasting across eight public datasets covering Type 1 diabetes, Type 2 diabetes, and non-diabetes populations. Under a unified protocol, zero-shot foundation models did not consistently outperform baselines like Elastic Net and PatchTST, but lightweight fine-tuning did, with fine-tuned Chronos-Bolt reducing RMSE by 6.5%-18.4% in the T1D cohort and 8.6%-18.2% in the non-diabetes/T2D cohort. A residual-based fusion framework adding dietary context from CGMacros reduced overall RMSE by about 3% and postprandial RMSE by about 15% versus CGM-only baselines.

arXiv cs.AI / cs.LG / cs.CLSep 10, 17:43 UTC · 6d agoAI research

Domain-Incremental Learning for Multi-Channel Replay Speech Detection

First continual learning benchmark for multi-channel replay speech detection shows task-specific beamforming cuts catastrophic forgetting across 24 acoustic environments.

Researchers frame replay-attack detection for voice-controlled systems as domain-incremental learning over acoustic environments, evaluating a beamformer-based detector across all 24 environment orderings of the ReMASC corpus with five seeds. Naive sequential fine-tuning raises error rates on previously learned environments by 18.8 points, while elastic weight consolidation halves forgetting but loses plasticity and gradient projection memory is statistically indistinguishable from naive fine-tuning. A task-specific beamformer keeping one spatial front-end per environment significantly improves final and incremental accuracy, and the last environment in a sequence dominates final performance.

arXiv cs.CRSep 10, 08:03 UTC · 6d agoResearch1