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Mars Security Launches Real-Time Intel-to-Detection Engine That Turns Live Threat Intelligence Into Backtested Detections in Minutes

Mars Security launched Real-Time Intel-Based Detection, converting advisories into MITRE ATT&CK-mapped, backtested detection rules for CrowdStrike, Wiz, and Splunk within minutes.

The capability turns newly published threat intelligence from CISA, Mandiant, Unit 42, and Microsoft Threat Intelligence into validated detection rules within minutes, each backtested against 30 days of the customer's own telemetry before deployment. Rules are written in native query languages across CrowdStrike Falcon, Wiz, Splunk, firewalls, Linux Sysmon, identity providers, AWS telemetry, and data lakes such as Snowflake and Databricks, with no data ingestion or stack changes. The feature is available at no additional cost to existing customers and on AWS Marketplace. Mars also flags detection coverage gaps and extends monitoring to credentials leaked by AI coding agents.

Cyber Security News · 8d agoTools1

Mars Security brings threat intelligence to detection in real time

Mars Security launched Real-Time Intel-Based Detection, converting advisories from CISA and Mandiant into backtested MITRE ATT&CK-mapped detection rules for CrowdStrike, Wiz, and Splunk.

Mars Security announced a capability that automatically turns newly published threat intelligence from sources like CISA, Mandiant, Unit 42, and Microsoft into MITRE ATT&CK-mapped detection rules. Each rule is written in the native query language of the customer's telemetry (CrowdStrike Falcon, Wiz, Splunk, firewalls, identity providers, AWS, Snowflake, Databricks) and backtested against 30 days of the customer's data before deployment, with indicator scoring to drop noisy or stale indicators. The platform also maps existing detection coverage, flags gaps such as AWS CloudTrail tampering and pass-the-hash movement, and delivers some recommendations as open pull requests for detection-as-code workflows.

Help Net Security · 8d agoTools

Bot detection arrives in CrowdSec 1.8.0, along with two DoS fixes

CrowdSec 1.8.0 adds WAF bot detection via challenges and fingerprinting and fixes denial-of-service flaws in HTTP and Kubernetes audit datasources.

CrowdSec 1.8.0, released August 31, introduces bot detection in its WAF using client challenges and fingerprinting, plus fixes for two denial-of-service vulnerabilities in the HTTP acquisition datasource (unbounded decompressed body size, trusted Content-Length) and the Kubernetes audit webhook datasource (unbounded request body reads). The release also adds a dedicated Kubernetes datasource pulling logs directly from the apiserver, new HTTP helpers for external queries in the expression language, and performance work on the decisions stream endpoint. The challenge requires SSE4.1 and writable-executable memory, so some legitimate visitors may be blocked.

Help Net Security · 15d agoTools

What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News · 20d agoIndustry

What 50 open source projects taught us about security in the AI era

GitHub's Secure Open Source Fund Session 4 improved security across 50 open source projects using AI-assisted workflows, tooling, and funding.

GitHub reported outcomes from Session 4 of its Secure Open Source Fund, which covered 50 open source projects. Participating maintainers combined AI-assisted workflows, GitHub security tools, expert guidance, and direct funding to improve project security. The post frames lessons about securing open source maintenance in the AI era; no specific vulnerabilities or incidents are named in the announcement.

GitHub Blog · Security · Aug 13, 2026Industry1

Security Data Isn’t the Problem. Security Context Is.

Horizon3 blog argues security context, not data volume, is the SOC bottleneck, promoting its NodeZero integration with CrowdStrike Falcon Next-Gen SIEM.

Horizon3.ai published a vendor blog explaining how its NodeZero Proactive Security Platform integration with CrowdStrike Falcon Next-Gen SIEM brings validated exposure findings into existing security operations workflows. The post argues SOCs are now limited by confidence rather than visibility, needing context to decide which issues matter. It cites a global chemical manufacturer that validated exploitable exposures with NodeZero before completing a $2 billion merger.

Horizon3.ai · 1d agoTools

On Identifying Sound Conditions for Frontrunning Resistance

Researchers formally define smart-contract frontrunning resistance, showing 55% of 393 audited vulnerabilities escape state-of-the-art detection, and find two undisclosed Ethereum flaws.

The paper gives the first formal definition of frontrunning vulnerability for smart contracts, grounded in how honest users interact with contracts rather than contract code alone. In a large-scale study of 287 smart contract audits, 55% of the 393 vulnerabilities reported by leading auditors fall outside the scope of state-of-the-art dynamic detection criteria. The authors present a sound algorithm for synthesizing secure interaction conditions and apply it to real-world contracts, uncovering previously undiscovered vulnerabilities in two Ethereum contracts.

arXiv cs.CR · 6d agoResearch

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

NVIDIA and CrowdStrike announce SafeMind, an agentic cybersecurity system built on Nemotron models, plus Falcon IQ for agentic workload automation.

At CrowdStrike's Fal.Con 2026, NVIDIA and CrowdStrike announced SafeMind, an agentic cybersecurity system combining CrowdStrike's purpose-built frontier models and harnesses with NVIDIA Nemotron open models in a continuous red-versus-blue coevolution loop. A Blue Solano model post-trained on Nemotron 3 Super reportedly achieved higher accuracy than leading frontier models at 99% lower cost. CrowdStrike also introduced Falcon IQ, powered by Nemotron models in the Charlotte AI AgentWorks platform, coordinating more than 50 agents for automated defensive workflows. CrowdStrike cited an 89% year-over-year rise in AI-enabled attacks and a fastest eCrime breakout time of 27 seconds as context for agentic defense.

NVIDIA Blog · 14d agoAI industry

From Infostealer Log to Marketplace Listing: A Technical Walkthrough of the Credential Theft Pipeline

Cyble walkthrough maps how infostealer logs move from endpoint infection through aggregation and enrichment to dark web credential marketplace sales.

Cyble breaks the credential theft pipeline into stages: infostealer execution harvesting browser credential stores, cookies, session tokens, crypto wallets, and FTP configurations; aggregation of stealer logs via C2 panels into bundled archives; parsing and enrichment against previously leaked datasets; and final listing on dark web marketplaces. Enrichment adds employer and role context that raises prices and enables credential stuffing across reused passwords. The report advises SOC teams to monitor stealer logs and marketplace chatter early rather than waiting for breach alerts.

Cyble · 6d agoMalware1

Honeypot-Omaha and batch.py [Guest Diary], (Wed, Sep 2nd)

A SANS ISC guest diary describes batch.py, a Python tool that consolidates honeypot logs and enriches IOCs with threat intelligence data.

Written by a SANS.edu BACS intern, the diary explains analysis of the DShield Honeypot-Omaha sensor, which uses Cowrie to emulate SSH and Telnet and log attacker activity. The author's batch.py script implements a four-phase pipeline with SHA-256-generated master and guest authentication to consolidate JSON and log files, correlate data via external APIs, and produce MITRE, CVE, geolocation, threat-score and fingerprint enrichment for investigated indicators.

SANS Internet Storm Center · 13d agoTools1

Just a rumour of a bug is enough to find a security exploit these days

Commentary argues that an unverified rumor of a software bug is now enough for researchers or attackers to develop a working exploit.

A short blog note reflects on how modern exploit development has accelerated to the point that even a mere rumor of a vulnerability can be enough to locate and weaponize a bug. The piece is commentary on the current state of security research and attacker trends rather than a disclosure of a specific flaw.

Lobsters · security · 18d agoIndustry

Data access: the hidden cost of security vendor lock-in

Elastic compares SIEM data egress cost, latency, and fidelity across CrowdStrike, Microsoft, Google, and Splunk, arguing vendors engineer lock-in.

Elastic Security Labs published an opinion piece comparing how major SIEM and security vendors handle data egress, based on each vendor's public documentation as of September 2026. It rates CrowdStrike Falcon Data Replicator and Palo Alto Networks XSIAM Event Forwarding as restricted (paid add-ons with batch delays), Microsoft as partially open, Splunk as open, and Elastic as open with no export license. The piece argues frictionless ingestion paired with licensed or delayed egress is an intentional lock-in business model, and cites CrowdStrike's 2026 Global Threat Report eCrime breakout time of 29 minutes to argue real-time telemetry access is now essential.

Elastic Security Labs · 12d agoIndustry

12 Best Server Security Solutions Compared (2026): Features & Pricing

GBHackers ranks 12 server security solutions for 2026, naming CrowdStrike and SentinelOne as server EDR leaders and Trend Micro Deep Security top for virtual patching.

The guide scores 12 server security platforms across five weighted criteria, with detection and response depth and Linux parity weighted 25% each. CrowdStrike and SentinelOne lead server EDR, Trend Micro Deep Security is highlighted for virtual patching of unpatchable estates, and Microsoft Defender for Servers is noted for Azure and hybrid economics. It is an editorial assessment comparing features and pricing models rather than a lab test.

GBHackersupdated · 3h agofirst · 5d agoIndustry 13 sources1

Detect and disrupt AI-themed attacks with Microsoft Defender

Microsoft Threat Intelligence reports criminal campaigns impersonating ChatGPT, Copilot, Claude, and DeepSeek in phishing, AiTM, and malvertising attacks reaching 100,000 emails daily.

Microsoft Threat Intelligence observed a growing set of campaigns that abuse trust in popular AI brands: a ChatGPT-themed phishing campaign sent up to 100,000 emails in one day to steal payment card data, and a Claude-themed campaign used adversary-in-the-middle techniques to harvest credentials and access tokens. Other campaigns included malvertising for a fake AI Windows plugin delivering the Vidar stealer and fraudulent DeepSeek installers distributed via GitHub. Initial access broker Storm-3075 used AI-themed malvertising to distribute payloads for multiple downstream actors, and Microsoft notes the AI services themselves were not compromised. Microsoft also details Defender protections such as Safe Links, Safe Attachments, and attack disruption against these multi-stage lures.

Microsoft Security Blog · 5d agoPhishing & fraud in the wild1

Stealing AI Reasoning Traces

Researchers demonstrate a decryption jailbreak that extracts encrypted reasoning traces from Anthropic, OpenAI, and Google LLM APIs via weaker sibling models.

The paper exploits the fact that encrypted chain-of-thought blocks returned by LLM providers are interchangeable across sessions, users, and models within a provider's ecosystem. Injecting an encrypted trace into a weaker, less-safeguarded model from the same provider forces it to output the trace in plaintext, bypassing anti-distillation mechanisms. Decoding 315,320 reasoning blocks scraped from public repositories recovered 367 PII artifacts and 182 credentials, showing large-scale private data leakage. The flaw also enables hidden hazardous information disclosure and invisible prompt injections embedded in encrypted blocks; mitigations were proposed after responsible disclosure.

Schneier on Security · 8d agoAI safety & security

Webinar: How malicious OAuth apps can lead to Google Workspace breaches

BleepingComputer webinar will dissect two Google Workspace breaches caused by malicious OAuth apps and social engineering, hosted September 23 with Material Security.

On September 23, 2026, BleepingComputer will host a webinar with Material Security examining two real attacks that used malicious OAuth applications and social engineering to breach Google Workspace environments. Rather than stealing credentials, attackers persuaded users to authorize malicious apps, gaining access to data through the granted permissions. The session covers first-hour response decisions and which security controls provide the greatest value for fast-growing organizations.

BleepingComputer · 2d agoPhishing & fraud

Cops, CrowdStrike disrupt Sality botnet by poisoning the network and diverting into sinkholes

Law enforcement and CrowdStrike disrupted the 23-year-old Sality P2P botnet, isolating 15,000+ infected machines and seizing linked domains.

International law enforcement, working with CrowdStrike and the Shadowserver Foundation, executed a peer-to-peer sinkhole operation against Sality, a botnet active since 2003 that delivered malware to more than 15,000 machines worldwide. Sality's primary payload for eight years was EggJagger, a clipboard hijacker that swaps copied bitcoin and ethereum wallet addresses with attacker-controlled ones, yielding at least $150,000 in stolen cryptocurrency. The US Justice Department, FBI, and DoD Office of Inspector General's Defense Criminal Investigative Service seized Sality-linked domains, with parallel action in Bulgaria, Hungary, and Romania. The Shadowserver Foundation is coordinating with ISPs and CSIRTs to identify infections and notify victims.

The Register · Security · 14d agoMalware in the wild

You Get What You Sample: Evaluating Sampling Strategies for Web Security Measurements

Evaluation of 500k Tranco and 24.8M Common Crawl hosts shows Top-N domain sampling biases web security measurements; probability sampling yields unbiased estimates.

The study is the first comprehensive investigation of how sampling strategies affect web security measurement conclusions, comparing datasets and strategies across 500k Tranco domains and 24.8M Common Crawl hosts. It shows Top-N selection does not reflect the overall web distribution and may bias observed vulnerability rates, while probability-based strategies yield stable, unbiased prevalence and impact estimates. Hybrid sampling offers no advantage because its deterministic prefix consistently hurts accuracy, and the authors propose an adaptive probability-based strategy effective even when target prevalence is unknown.

arXiv cs.CR · 6d agoResearch1

GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

GraphProfiler links LLM attribute inferences to source posts via personal knowledge graphs, enabling targeted redaction of privacy-leaking content.

GraphProfiler represents a user's post history as a source-linked personal knowledge graph where nodes and edges trace back to originating posts, making LLM-based attribute inference auditable. It reaches 86.7% attack success rate on the eight-attribute SynthPAI benchmark and 84.6% on PANDORA, within two points of strong text-only baselines, while citing supporting evidence for over 98% of predictions. Ablation experiments show removing cited posts reduces attack success substantially more than removing random posts, supporting targeted privacy mitigation.

arXiv cs.CR · 5d agoResearch1

Understanding the Privacy-Preserving Potential of HTTP/2 Against Webpage Fingerprinting

Researchers show HTTP/2 features can emulate website fingerprinting defenses like FRONT and Tamaraw with tunable privacy-overhead trade-offs.

An arXiv paper demonstrates that application-layer defenses such as HTTPOS, LLaMA, FRONT, ALPaCA, and Tamaraw can be emulated through HTTP/2 features at both the client and server side, including proactive resource suggestion, multiplexing, and flow control. The authors propose a unified evaluation blueprint that calibrates defense parameters per dataset, combines practical attacks with information-theoretic leakage estimators, and measures overheads to map each defense's privacy-overhead trade-offs.

arXiv cs.CR · 12d agoResearch

Why "Shady AI" is Security's Next Big Governance Problem

Opinion piece argues approved-but-ungoverned AI agent use ('shady AI') is a growing enterprise risk, citing a Meta Sev 1 data-exposure incident.

In March 2026, an approved AI agent at Meta posted a forum answer publicly, exposing sensitive company and user data to unauthorized employees for over two hours and triggering a Sev 1 incident. The author contrasts shadow AI (unapproved tools) with 'shady AI' (approved tools used in unapproved or unanticipated ways), arguing the latter is harder to govern because it operates inside the organization's visibility. A July 2026 SANS survey found 76% of security teams now have a role in governing enterprise AI. The piece recommends governance-by-default environments with built-in permissions, access controls, and monitoring rather than policy and training alone.

The Hacker News · 25d agoAI safety & security

Attacker stole a METR API key, used $600K worth of credits, and no one noticed for weeks

Attackers stole a METR API key via an exposed agent-run EC2 instance and consumed about $600,000 in public model credits over three weeks.

AI evaluation nonprofit METR disclosed two incidents. In March 2026, a fail-open bug in a vibe-coded app disabled authentication on a publicly accessible EC2 instance; an attacker prompted the running agent to reveal a model provider API key, added an SSH key for persistence, and consumed roughly $600,000 in free public-model credits over three weeks without being noticed. In May 2026, attackers probed METR's public infrastructure using agents, automated vulnerability discovery, credential stuffing, OAuth token attempts, and phishing; a separately exposed read-only SQL mechanism found by a bug bounty hunter risked leaking unpublished evaluation data, but no access to non-public data was confirmed.

The Register · Security · 14d agoData breach in the wild1

Hackers Use Autonomous AI Agents to Launch Mass Credential Theft Attacks in Under 6 Hours

Google Cloud reports attackers used autonomous AI agents to steal thousands of credentials including 23,800 secrets in a sub-six-hour campaign.

Google Cloud threat intelligence observed financially motivated attackers compromising cloud infrastructure and using AI coding agents guided by written playbook files to scan, harvest and rotate credentials within six hours. An exposed C2 dashboard for a framework called Recon organized and validated more than 23,800 stolen secrets, including API keys for cloud and AI services. Related activity includes UNC6780 publishing the trojanized tiktoken_mcp package on PyPI to target CI/CD tokens and the DUSTMAKER stealer hiding in .claude, .vscode and .cursor workspace directories.

Cyber Security News · 7d agoThreat actor in the wild

Google researchers uncover criminal zero-day exploit likely built with AI

Google links a likely LLM-built criminal zero-day for an open-source admin tool to planned mass exploitation and maps AI-assisted threats.

Google Threat Intelligence Group linked a zero-day exploit for a popular open-source web-based administration tool, enabling 2FA bypass with valid credentials via a semantic logic error, to a criminal group, citing educational docstrings, a hallucinated CVSS score, and textbook Python as signs of LLM authorship; the vendor was notified before a planned mass exploitation campaign. The report also details Russia-nexus malware families CANFAIL and LONGSTREAM using AI-generated decoy code, the PROMPTSPY Android backdoor driving the UI through the Gemini API, APT27 using Gemini to build relay tooling, and the TeamPCP (UNC6780) supply chain compromise of LiteLLM and Trivy repositories that planted the SANDCLOCK credential stealer.

Help Net Security · 23d agoThreat actor

When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning

Researchers show colluding nodes in decentralized federated learning can reconstruct private updates despite secure aggregation, using lattice-based attacks tied to the Hidden Subset Sum Problem.

Secure aggregation in decentralized federated learning is widely assumed to hide individual model updates. The authors show that sparse decentralized topologies give colluding semi-honest nodes asymmetric aggregate views exposing hidden linear combinations of honest participants' private states. They establish a formal connection to the Hidden Subset Sum Problem and design a lattice-based reconstruction approach combining lattice reduction with structural filtering. Evaluations on image, tabular, and text tasks show attackers recover local updates and can reconstruct private training data.

arXiv cs.CR · 8d agoResearch

Frontier AI Changes Vulnerability Discovery. It Doesn’t Change How Breaches Happen.

Horizon3 and CrowdStrike argue frontier AI accelerates vulnerability discovery but breach outcomes still hinge on post-compromise attacker behavior.

Horizon3.ai, working with CrowdStrike, argues that frontier AI is speeding up vulnerability discovery without changing how breaches actually unfold. The post stresses that impact still depends on what attackers achieve after initial compromise, not on the discovery tooling. The vendors propose connecting attacker-derived evidence to defender action as the practical bridge.

Horizon3.ai · 16d agoIndustry

AI is exposing a security structure built for yesterday’s threats

EY's Jeffrey Sallet argues AI-driven deepfakes and impersonation require integrating cybersecurity, physical security, HR and legal functions.

The opinion piece contends AI-powered impersonation, deepfakes and automated social engineering cross digital, physical and operational boundaries that siloed security programs cannot cover. It cites an EY survey of 250 corporate leaders where only 12% feel most prepared to detect a targeted physical attack, and describes transnational groups using deepfakes and stolen identities to bypass virtual HR hiring loops. The author urges unified cross-functional verification pipelines and shared threat intelligence between CISOs and chief security officers.

CSO Online · 1d agoIndustry