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Computer Software/Engineering

Breach intelligence, attack campaigns, and threat reports targeting the Computer Software/Engineering sector.

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Computer Software/Engineering Threat Reports

Showing 313–324 / 2541 reports
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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Critical Sandbox Escapes in OpenAI Codex Expose AI Agent Security Flaws
Critical Sandbox Escapes in OpenAI Codex Expose AI Agent Security Flaws

Critical Sandbox Escapes in OpenAI Codex Expose AI Agent Security Flaws

In August 2026, security researchers from Accomplish AI discovered two critical sandbox escape vulnerabilities in OpenAI's Codex coding agent, dubbed Heapjack and Overpatch. The Heapjack vulnerability enabled remote code execution by exploiting shared memory between trusted and untrusted JavaScript contexts in the node_repl component, allowing attackers to extract authentication tokens and execute commands on the host system. The Overpatch flaw leveraged the apply_patch tool to bypass workspace restrictions and write malicious code to system files. Both vulnerabilities were reported to OpenAI on August 12, 2026, and patched within eight days, but they highlight fundamental flaws in AI agent sandbox architecture where enforcement mechanisms resided within the sandboxed environment itself. These vulnerabilities represent a growing trend of AI agent security failures as organizations rapidly deploy autonomous coding assistants without adequate security controls. The increasing adoption of AI-powered development tools creates new attack vectors that traditional security frameworks struggle to address, making robust AI agent security controls more critical than ever.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
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WaterPlum Hackers Compromise 30,000 Devices in Massive Supply Chain Attack
WaterPlum Hackers Compromise 30,000 Devices in Massive Supply Chain Attack

WaterPlum Hackers Compromise 30,000 Devices in Massive Supply Chain Attack

Between December 2025 and July 2026, the North Korean hacking group WaterPlum executed a sophisticated supply chain attack through their "Contagious Interview" campaign, compromising over 30,000 devices across more than 100 countries. The attackers impersonated legitimate AI, cryptocurrency, and NFT companies to target job seekers with malicious npm packages and fake coding tests, ultimately stealing cryptocurrency credentials from over 7,000 wallets and transferring $10.7 million to North Korea. The operation combined social engineering with multiple malware families including BeaverTail, InvisibleFerret, and StoatWaffle to conduct financial theft and espionage. This incident highlights the evolving sophistication of state-sponsored supply chain attacks that exploit trusted development environments and social engineering tactics, demonstrating how nation-state actors are increasingly targeting individual developers and IT professionals to fund weapons programs while simultaneously infiltrating corporate networks.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
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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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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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Critical Orkes Conductor Vulnerability CVE-2026-58138 Under Active Attack
Critical Orkes Conductor Vulnerability CVE-2026-58138 Under Active Attack

Critical Orkes Conductor Vulnerability CVE-2026-58138 Under Active Attack

A critical pre-authentication remote code execution vulnerability (CVE-2026-58138) in Orkes Conductor workflow platform has been actively exploited in the wild since July 2026. The vulnerability allows attackers to execute arbitrary OS commands by submitting malicious JavaScript or Python expressions to workflow API endpoints without authentication. Fortinet reported blocking nearly 7,000 exploitation attempts between September 2-9, 2026, with attacks originating primarily from Germany, Hong Kong, Indonesia, UAE, and India. The flaw affects Conductor versions 3.21.21 through 3.30.1 and stems from unsandboxed GraalVM evaluators configured with unrestricted host access. This incident highlights the growing threat landscape targeting workflow orchestration platforms and the critical importance of securing API endpoints in cloud-native environments. As organizations increasingly adopt workflow automation tools for digital transformation, attackers are focusing on these high-value targets that often have broad system access and integration capabilities.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
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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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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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North Korean WaterPlum Campaign: How Fake AI Job Offers Led to $11M Cryptocurrency Heist
North Korean WaterPlum Campaign: How Fake AI Job Offers Led to $11M Cryptocurrency Heist

North Korean WaterPlum Campaign: How Fake AI Job Offers Led to $11M Cryptocurrency Heist

North Korean threat actors operating under WaterPlum (aka Contagious Interview) have compromised over 30,000 devices across 100+ countries by posing as legitimate AI, cryptocurrency, and NFT company recruiters targeting software developers and IT professionals. The campaign, linked to North Korea's 313 General Bureau, uses fake job opportunities to deliver malware and establish persistent access for cryptocurrency theft and data exfiltration. The operation has successfully stolen approximately $11 million in cryptocurrency from over 7,000 wallets while maintaining extensive overlap with broader North Korean IT worker infiltration efforts. This incident highlights the evolution of North Korean cyber operations beyond traditional state-sponsored espionage toward systematic financial crime integrated with legitimate IT workforce infiltration, representing a new paradigm where threat actors blend cybercriminal activities with long-term economic penetration strategies.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
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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Four Linux Kernel Flaws Enable Root Access: The AI-Assisted Vulnerability Era Begins
Four Linux Kernel Flaws Enable Root Access: The AI-Assisted Vulnerability Era Begins

Four Linux Kernel Flaws Enable Root Access: The AI-Assisted Vulnerability Era Begins

In September 2026, security researcher Asim Manizada disclosed four Linux kernel vulnerabilities that enable local privilege escalation to root access. The flaws, dubbed DirtyAH6, TUNderflow, PPPoEject, and DiagSpill, affect various networking components and were discovered using AI-assisted vulnerability research techniques. While kernel maintainers have patched all vulnerabilities, the public release of working exploit code significantly raises the risk for systems running outdated kernels, particularly in multi-user environments where attackers seek to escalate from limited user accounts to full administrative control. This disclosure represents a concerning trend of AI-accelerated vulnerability discovery in critical infrastructure components. As threat actors increasingly adopt similar AI-assisted techniques for offensive purposes, the time between vulnerability discovery and exploitation continues to shrink, demanding faster patch deployment cycles and enhanced kernel hardening strategies across enterprise environments.

Medium impact

Kill Chain

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