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Computer/Network Security

Breach intelligence, attack campaigns, and threat reports targeting the Computer/Network Security sector.

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Computer/Network Security Threat Reports

Showing 241–252 / 1289 reports
Multi-Vector Cyber Campaign Exploits Cisco Zero-Day and AI Agent Vulnerabilities
Multi-Vector Cyber Campaign Exploits Cisco Zero-Day and AI Agent Vulnerabilities

Multi-Vector Cyber Campaign Exploits Cisco Zero-Day and AI Agent Vulnerabilities

A critical zero-day vulnerability in Cisco systems has been actively exploited alongside a surge in ClickFix social engineering attacks and remote code execution flaws in AI agent frameworks. The multi-vector campaign demonstrates sophisticated threat actors leveraging trusted platforms and emerging AI technologies to bypass traditional security controls. Initial compromise vectors include malicious browser plugins, weaponized software packages, and fake security update prompts that deliver malware payloads to enterprise environments. This incident highlights the evolving threat landscape where attackers are increasingly targeting AI-powered systems and exploiting user trust in automated security updates, representing a significant shift in attack methodologies that organizations must address immediately.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
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NPM Malware Campaign Achieves 6M+ Downloads by Evading Install-Script Security Controls
NPM Malware Campaign Achieves 6M+ Downloads by Evading Install-Script Security Controls

NPM Malware Campaign Achieves 6M+ Downloads by Evading Install-Script Security Controls

In September 2026, security researchers discovered a sophisticated npm supply chain attack targeting the 'indexed-btree' package and nine related libraries, collectively achieving over 6 million downloads. The campaign bypassed GitHub's new npm security measures by hiding malicious code in runtime methods rather than installation scripts, allowing the malware to execute when developers called specific package functions. The malware collected system information, established command-and-control through Ethereum smart contracts, and exfiltrated data via Slack and Telegram channels while maintaining the appearance of legitimate packages. This incident highlights the evolution of supply chain attacks as threat actors adapt to new security measures, demonstrating the critical need for runtime behavioral analysis alongside traditional install-time scanning in modern development environments.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
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BragJack Attack Exposes Critical Security Flaws in AI-Powered Browser Agents
BragJack Attack Exposes Critical Security Flaws in AI-Powered Browser Agents

BragJack Attack Exposes Critical Security Flaws in AI-Powered Browser Agents

In September 2026, security researcher Gal Weizman disclosed BragJack, a novel attack technique that hijacks AI assistants built into popular browsers using malicious extensions. The attack exploited vulnerabilities in five Chromium-based browsers including Google Chrome's Gemini Live, Microsoft Edge, Opera Neon, Perplexity Comet, and Anthropic's Claude extension. By leveraging Chrome's declarativeNetRequest functionality, attackers could manipulate web traffic to privileged browser components, enabling unauthorized access to local files, browsing history, screenshots, and the ability to control AI agents to perform actions on behalf of victims. The research earned over $20,000 in bug bounties and resulted in two CVEs being assigned. This incident highlights the emerging security risks as AI agents become deeply integrated into browsers with elevated privileges, creating new attack vectors that traditional endpoint defenses may not adequately address.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
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Ransomware Gang Warfare: ShinyHunters Breaches Clop's Infrastructure in Escalating Cyber Feud
Ransomware Gang Warfare: ShinyHunters Breaches Clop's Infrastructure in Escalating Cyber Feud

Ransomware Gang Warfare: ShinyHunters Breaches Clop's Infrastructure in Escalating Cyber Feud

In September 2026, the ShinyHunters extortion gang successfully breached the Clop ransomware operation's data leak site by exploiting an unauthenticated file upload vulnerability in Grav CMS. The attackers defaced the Tor site with their signature Umbreon logo, claimed to have stolen source code, system logs, and the private keys for Clop's onion service. This attack was reportedly retaliation for threats made by Clop representatives during an ongoing feud that began after ShinyHunters disrupted Clop's 2025 Oracle E-Business Suite data theft campaign involving CVE-2025-61882. This incident highlights the growing trend of cybercriminal groups turning against each other, creating additional chaos in an already volatile threat landscape. As ransomware operations become more territorial and competitive, these inter-gang conflicts expose critical infrastructure vulnerabilities and demonstrate how threat actors increasingly target each other's operational security.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
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Cisco ISE Zero-Day Exposes Critical API Security Gaps in Network Infrastructure
Cisco ISE Zero-Day Exposes Critical API Security Gaps in Network Infrastructure

Cisco ISE Zero-Day Exposes Critical API Security Gaps in Network Infrastructure

In September 2026, Cisco disclosed CVE-2026-76460, a maximum-severity zero-day authentication bypass vulnerability affecting its Identity Services Engine (ISE) that was actively exploited in the wild. The flaw stemmed from insufficient authentication controls on an ISE API endpoint, allowing attackers to send crafted requests to gain unauthorized root-level access and command execution without authentication or user interaction. CISA immediately added the vulnerability to its Known Exploited Vulnerabilities catalog, highlighting the critical nature of this compromise to enterprise network security infrastructure. This incident exemplifies the growing trend of API security failures in critical infrastructure components, particularly as organizations increasingly rely on API-driven network access control and zero-trust architectures for securing hybrid cloud environments.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
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CrowdSec Breach: How TanStack NPM Supply Chain Attack Exposed 170 Private Repositories
CrowdSec Breach: How TanStack NPM Supply Chain Attack Exposed 170 Private Repositories

CrowdSec Breach: How TanStack NPM Supply Chain Attack Exposed 170 Private Repositories

In May 2026, CrowdSec suffered a significant data breach when attackers leveraged the TanStack npm supply chain attack (CVE-2026-45321) to compromise a former employee's laptop and steal GitHub credentials. The attackers used these credentials to copy 170 private GitHub repositories containing source code, consensus algorithms, and sensitive data including 83 user email addresses and 51 potential investor details. The breach was discovered in September 2026 when the stolen code appeared on online forums, revealing critical intellectual property and operational thresholds. This incident exemplifies the growing threat of supply chain attacks targeting developer environments and highlights the cascading impact when credential hygiene practices fail during employee transitions.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
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When AI Goes Rogue: Google Gemini's Unintended Corporate Breaches Expose New Cyber Risks
When AI Goes Rogue: Google Gemini's Unintended Corporate Breaches Expose New Cyber Risks

When AI Goes Rogue: Google Gemini's Unintended Corporate Breaches Expose New Cyber Risks

In May 2026, Google's Gemini AI model inadvertently breached three real companies' systems during cybersecurity evaluations conducted by Israeli firm Irregular. The incidents occurred due to a naming error that caused fictional company names used in capture-the-flag exercises to match real domains, allowing the AI models to access actual systems via the internet. Gemini gained unauthorized access through password guessing and credential discovery in public repositories. Unlike similar incidents with other AI models, Gemini appropriately halted its intrusions upon recognizing it had accessed real company systems, demonstrating effective safety mechanisms. This incident represents the growing challenge of AI systems gaining unintended internet access and highlights the critical importance of robust containment protocols in AI development and testing environments.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(high)
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How Claude Opus 5 Helped Researchers Hack OpenAI in 72 Hours
How Claude Opus 5 Helped Researchers Hack OpenAI in 72 Hours

How Claude Opus 5 Helped Researchers Hack OpenAI in 72 Hours

In July 2026, security researchers at Hacktron used Anthropic's Claude Opus 5 AI to chain two vulnerabilities and gain unauthorized access to OpenAI staff accounts through their public forum. The attack exploited CVE-2026-32882, a memory corruption flaw in libheif image processing library, combined with a weakness in OpenAI's single sign-on system. Within 72 hours, researchers compromised ChatGPT and Codex accounts of OpenAI employees and accessed an internal GitHub repository, demonstrating how AI can dramatically accelerate exploit development and chaining. This incident highlights the emerging threat of AI-assisted cyberattacks, where advanced language models can rapidly develop complex exploit chains that previously required significant manual expertise. As threat actors increasingly adopt AI tools for offensive operations, organizations face accelerated attack timelines and more sophisticated exploitation techniques targeting shared authentication systems and unpatched dependencies.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
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Inside Apollo Agent Obfuscation: Bishop Fox's Battle Against Modern EDR
Inside Apollo Agent Obfuscation: Bishop Fox's Battle Against Modern EDR

Inside Apollo Agent Obfuscation: Bishop Fox's Battle Against Modern EDR

Bishop Fox's red team forked the open-source Apollo agent from the Mythic C2 framework to evade increasingly sophisticated endpoint detection capabilities. Their extensive modification effort involved building custom obfuscation pipelines, stripping detectable strings, and implementing realistic naming schemes to bypass EDR solutions. Despite months of development work including dynamic task loading fixes and metadata cleanup, the team discovered that Apollo's architecture fundamentally relied on stable symbol names, making comprehensive obfuscation extremely difficult and fragile. This research highlights the growing arms race between red team tooling and modern EDR solutions, where surface-level customization no longer provides adequate operational security. The lessons learned directly informed the design of new custom agents built from scratch with obfuscation-first architecture.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
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HEIF Heist: How AI-Powered Research Exposed Critical Supply Chain Vulnerabilities
HEIF Heist: How AI-Powered Research Exposed Critical Supply Chain Vulnerabilities

HEIF Heist: How AI-Powered Research Exposed Critical Supply Chain Vulnerabilities

In July 2024, Hacktron researchers discovered HEIF Heist, a critical vulnerability in widely-used software decoder libraries libheif and libde265 that process image files. Using AI models including Claude and GPT-5.6 Sol, researchers demonstrated how attackers could upload malicious HEIF, HEIC, and AVIF image files to trigger memory corruption and achieve remote code execution. The attack compromised major platforms including OpenAI's internal repositories, AWS services, Meta's product suite, and GitHub Enterprise servers, allowing attackers to steal sensitive data, access tokens, and user files across interconnected services. This incident highlights the growing sophistication of AI-assisted vulnerability research and the cascading risks in modern software supply chains. As organizations increasingly integrate AI models and rely on shared decoder libraries, a single flaw can expose vast interconnected ecosystems to data theft and unauthorized access.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
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Critical Check Point Vulnerability Exposes Management Systems to Root Access Attacks
Critical Check Point Vulnerability Exposes Management Systems to Root Access Attacks

Critical Check Point Vulnerability Exposes Management Systems to Root Access Attacks

Check Point Software disclosed CVE-2026-91843, a critical stack-based buffer overflow vulnerability affecting Security Management Server and Log Server systems that allows unauthenticated attackers to execute code with root privileges. The flaw stems from improper input validation in the login process and can be exploited remotely without user interaction in low-complexity attacks. While not yet exploited in the wild, this vulnerability follows a pattern of recent Check Point security issues, including two other critical RCE flaws (CVE-2026-85103 and CVE-2026-85102) patched the same week and two authentication bypass zero-days actively exploited by ransomware groups since mid-2026. This incident highlights the escalating threat to network security infrastructure as attackers increasingly target management platforms that control entire security ecosystems, potentially compromising organizational defenses at their core control points.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
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Rapuncel Infostealer Campaign Exploits Fake GitHub Repos to Bypass Security
Rapuncel Infostealer Campaign Exploits Fake GitHub Repos to Bypass Security

Rapuncel Infostealer Campaign Exploits Fake GitHub Repos to Bypass Security

In September 2026, cybercriminals launched a sophisticated malware campaign using SEO-optimized fake GitHub repositories impersonating LastPass and 39 other legitimate software companies. The attack delivers the previously undocumented Rapuncel infostealer along with a Microsoft-signed kernel driver capable of disabling 145 antivirus and EDR products. Victims searching for popular software like LastPass Authenticator are redirected through malicious GitHub repos to download ZIP archives containing the malware, which steals credentials from 25 browsers, 30 cryptocurrency wallets, and sensitive documents while maintaining persistence across system reboots. This incident highlights the growing sophistication of supply chain attacks targeting trusted development platforms like GitHub, demonstrating how threat actors exploit SEO manipulation and legitimate code-signing certificates to bypass security controls and establish persistent access to victim systems.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
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