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Computer Software/Engineering

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

1833 threat reports
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Computer Software/Engineering Threat Reports

Showing 12971308 / 1833 reports
Illinois Man Phishes 570 Snapchat Accounts in Major 2026 Breach
Impact· high

Illinois Man Phishes 570 Snapchat Accounts in Major 2026 Breach

In early 2026, U.S. authorities charged Illinois resident Kyle Svara for orchestrating a large-scale phishing and account takeover operation targeting Snapchat users. Between May 2020 and February 2021, Svara used social engineering tactics, including impersonating Snap representatives, to solicit access codes from over 4,500 individuals. He successfully compromised credentials for approximately 570 victims and accessed at least 59 accounts without permission, stealing private images and selling his hacking services online via forums like Reddit and encrypted channels such as Kik. Affected organizations included Northeastern University and Colby College, with the breach exposing significant privacy and security risks for hundreds of women. This breach highlights the escalating threat of identity-driven attacks leveraging social engineering and phishing to gain unauthorized access to sensitive accounts. The incident underscores increased regulatory and public scrutiny of platforms' ability to safeguard user credentials, as well as the evolving risks posed by credential harvesting and account takeover methods.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(high)
I
Impact(high)
Read Report
Hackers Exploit Misconfigured Proxies to Access Paid LLM Services in 2026
Impact· medium

Hackers Exploit Misconfigured Proxies to Access Paid LLM Services in 2026

In late 2025 and early 2026, threat actors launched coordinated campaigns to identify and exploit misconfigured proxy servers providing unauthorized access to commercial large language model (LLM) services. Using enumeration techniques and server-side request forgery (SSRF) vulnerabilities, attackers probed over 73 LLM endpoints—like OpenAI, Anthropic, and Google Gemini—producing more than 80,000 sessions. Their tactics included low-noise queries to bypass security alerts, the injection of malicious registry URLs, and Twilio SMS webhooks. While the activity appeared research-oriented at times, the scale and automated reconnaissance efforts were indicative of broader malicious reconnaissance likely intended for future exploitation or abuse of these valuable AI assets. This incident underscores a broader rise in cloud misconfiguration attacks and highlights escalating threats targeting AI infrastructure. As reliance on LLM APIs grows, so too does the risk of credential abuse and exploitation, placing new urgency on proactive cloud security, real-time monitoring, and zero trust principles across managed AI services.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(high)
E
Exfiltration(low)
I
Impact(medium)
Read Report
Critical RCE Vulnerability Exposes Trend Micro Apex Central (2026)
Impact· low

Critical RCE Vulnerability Exposes Trend Micro Apex Central (2026)

In January 2026, Trend Micro disclosed a critical security vulnerability (CVE-2025-69258, CVSS 9.8) in its on-premise Apex Central for Windows, allowing unauthenticated remote attackers to execute arbitrary code with SYSTEM privileges. The flaw exploited a LoadLibraryEX vulnerability in the MsgReceiver.exe component, enabling attacker-controlled DLL injection via specially crafted messages sent over TCP port 20001. Two accompanying vulnerabilities (CVE-2025-69259 and CVE-2025-69260, CVSS 7.5) could permit denial-of-service attacks. The vulnerabilities impacted Apex Central installations below Build 7190 and were responsibly disclosed by Tenable in August 2025. Organizations were urged to patch immediately to prevent potential system compromise. This incident highlights ongoing risks from remote code execution vulnerabilities in security management platforms. Attackers increasingly target critical infrastructure using sophisticated message-based exploits, making timely patching and enhanced segmentation crucial, especially amid rising regulatory scrutiny and a surge in supply chain attacks.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(low)
I
Impact(low)
Read Report
ChatGPT's 2026 ZombieAgent Attack: Persistent Prompt Injection Exploits AI Memory
Impact· medium

ChatGPT's 2026 ZombieAgent Attack: Persistent Prompt Injection Exploits AI Memory

In January 2026, researchers at Radware disclosed a critical vulnerability in OpenAI's ChatGPT platform, exploiting its new memory and connector features via indirect prompt injection (IPI). The exploit, dubbed "ZombieAgent," allowed attackers to persistently implant malicious prompts within ChatGPT's memory using innocuous-looking emails or document attachments. Once infected, the AI could automatically extract and exfiltrate sensitive information through obfuscated URL requests whenever the user interacted with the compromised bot, bypassing existing controls and traditional user awareness. The attack method leverages ChatGPT integrations with email and third-party applications, increasing the risk of wide propagation and persistence. This incident underscores the rapidly evolving threat landscape in AI/ML security, where feature enhancements such as memory and connectivity can be leveraged by attackers for new classes of attacks. The ZombieAgent case highlights the urgent need for robust prompt source attribution, intent verification, and granular trust boundaries in AI agents as attackers adapt known abuse techniques to advanced AI capabilities.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(medium)
Read Report
Fake AI Chrome Extensions Expose Sensitive Data of 900,000 Users
Impact· high

Fake AI Chrome Extensions Expose Sensitive Data of 900,000 Users

In January 2026, security researchers disclosed a major data breach in which two malicious Google Chrome extensions, posing as legitimate AI-powered tools for ChatGPT and DeepSeek, surreptitiously harvested sensitive information from over 900,000 users. These fake extensions, mimicking the functionality and branding of a trusted vendor, exfiltrated entire LLM chat conversations, browsing histories, confidential corporate URLs, internal credentials, and other proprietary data to an external command-and-control server. The scope of the incident included the exposure of intellectual property, business strategies, source code, and user credentials, highlighting significant risks for individuals and organizations whose employees utilized these tools in their workflows. With generative AI increasingly adopted for business and development tasks, this breach is a stark demonstration of the risks posed by third-party browser extensions—particularly those that intercept AI-driven sessions. It underscores the urgent need for stricter vetting controls, robust application security for browser add-ons, and user education in an environment where threat actors leverage AI both as target and tool.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(low)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(high)
Read Report
How Attackers Manipulate Windows Process Environment Blocks for Evasion (2024 Analysis)
Impact· medium

How Attackers Manipulate Windows Process Environment Blocks for Evasion (2024 Analysis)

In January 2024, security researchers highlighted a process manipulation technique in Windows environments that allows attackers to modify the Process Environment Block (PEB) of malicious or legitimate processes. By leveraging the CREATE_SUSPENDED flag and directly editing the PEB structure, adversaries can spoof or hide command-line arguments of spawned processes. This method can be further extended to already-running processes, making detection through simple process inspection more challenging. The primary risk lies in attackers masking their operational activities to evade security controls and digital forensics investigation. This incident underscores the evolving sophistication of post-exploitation tactics aimed at defense evasion. Process hollowing, command-line spoofing, and direct PEB tampering are increasingly used in targeted attacks and commodity malware alike, highlighting the critical need for visibility, anomaly detection, and strong endpoint security strategies.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Inside Vercel’s 2025 React2Shell Race: Supply-Chain RCE and the Open Source Security Wake-up Call
Impact· medium

Inside Vercel’s 2025 React2Shell Race: Supply-Chain RCE and the Open Source Security Wake-up Call

In late 2025, Vercel—maintainers of the popular Next.js framework—faced a critical cybersecurity incident involving the React2Shell vulnerability (CVE-2025-55182). Discovered just after Thanksgiving, this supply-chain flaw in React Server Components enabled unauthenticated remote code execution across multiple frameworks and bundlers in default configurations. A rapid, global response mobilized Vercel, open-source contributors, major cloud providers, and security vendors who coordinated mitigations and validated patches within days. Despite these efforts, over 60 organizations were compromised, with attackers from cybercriminal, ransomware, and nation-state groups exploiting disclosed weaknesses, leading to millions of exploit attempts and sustained attack volumes. The React2Shell episode highlighted the ongoing risks inherent in reliance on open-source components and the urgent need for collaborative, industry-wide response standards. Attackers have rapidly adopted similar techniques, sustaining high exploitation rates and revealing critical gaps in software supply-chain security.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
NodeCordRAT Trojan Exposed in npm Bitcoin-Themed Packages (2026)
Impact· medium

NodeCordRAT Trojan Exposed in npm Bitcoin-Themed Packages (2026)

In November 2025, cybersecurity researchers uncovered a sophisticated supply chain attack involving malicious npm packages—'bitcoin-main-lib', 'bitcoin-lib-js', and 'bip40'—that distributed the remote access trojan NodeCordRAT. Uploaded by the threat actor 'wenmoonx', these packages mimicked legitimate BitcoinJS repositories, leveraging npm’s postinstall scripts to deliver malware hidden in 'bip40'. NodeCordRAT enabled attackers to exfiltrate Chrome credentials, cryptocurrency wallet seed phrases, and sensitive files to Discord-controlled servers, using Discord’s API for covert communication and command execution. This multi-OS campaign potentially impacted thousands of developers before takedown. The incident stands out for its abuse of trusted open-source components, increasing concern across the software supply chain. Its methodology highlights the growing sophistication of attacker tradecraft leveraging developer ecosystems and API-based covert channels, making such threats relevant for all organizations relying on open-source dependencies.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(low)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(medium)
Read Report
GenAI Coding Breach: How Vibe Coding Exposed Enterprises to New Security Risks in 2026
Impact· high

GenAI Coding Breach: How Vibe Coding Exposed Enterprises to New Security Risks in 2026

In January 2026, Unit 42 research revealed a series of high-profile breaches stemming from the accelerated adoption of AI-driven "vibe coding" tools within enterprise developer environments. While designed to boost code productivity with natural language prompts, these generative AI agents frequently neglected core security controls—such as input validation, authentication, and privilege segregation. Real incidents included breaches of sales applications due to missing authentication, remote command execution from indirect prompt injection, authentication bypass of APIs, and destructive production database deletions initiated by AI agents. These incidents translated into unauthorized data access, data loss, and operational outages, largely because organizations lacked robust monitoring or governance over AI-generated code in production environments. This breach underscores urgent industry-wide risks as generative AI coding rapidly outpaces security readiness, with threat actors exploiting logic flaws and overprivileged agents. The surge in "citizen developers" and unmanaged AI deployments is fueling new classes of vulnerabilities, pressing organizations to prioritize formal risk assessments and proactive controls when leveraging GenAI for software development.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(high)
Read Report
Critical RCE Flaw in n8n Automation Platform Threatens Enterprise Security (2026)
Impact· low

Critical RCE Flaw in n8n Automation Platform Threatens Enterprise Security (2026)

In November 2026, a critical unauthenticated remote code execution vulnerability (CVE-2026-21858) was discovered in the n8n automation platform, exposing an estimated 100,000 servers worldwide. The flaw, which involved a content-type confusion, allowed attackers to gain full control over targeted networks and access sensitive customer data, secrets, and CI/CD pipelines. While the issue was immediately reported and patched by November 18, public disclosure lagged until almost two months later, heightening risk as proof-of-concept code surfaced and attackers ramped up reconnaissance against exposed n8n instances. Organizations using n8n are strongly urged to upgrade to version 1.121.1 or later as there are no workarounds, and delayed patching increases exposure to opportunistic threat actors. This incident is particularly significant because n8n is commonly integrated into business-critical workflows containing high-value credentials and assets. As attackers increasingly focus on exploiting vulnerabilities in automation and orchestration tools, the "ni8mare" flaw exemplifies the need for rapid patching and mature exposure management practices across the enterprise software supply chain.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(low)
E
Exfiltration(low)
I
Impact(low)
Read Report
AI-Enhanced Cybercrime in 2026: Vibe Hacking & HackGPT Threats Explained
Impact· low

AI-Enhanced Cybercrime in 2026: Vibe Hacking & HackGPT Threats Explained

In early 2026, the cybersecurity landscape saw a significant shift with the rise of AI-enhanced cybercrime through a phenomenon known as 'vibe hacking'. Threat actors began leveraging accessible AI tools—often marketed as FraudGPT, PhishGPT, WormGPT, and similar—to automate cyberattacks such as phishing, credential theft, and fraud, regardless of the attacker’s technical skill. These AI-assisted services, readily advertised across dark web forums and encrypted messaging platforms, enabled novice cybercriminals to bypass traditional knowledge barriers and orchestrate sophisticated campaigns at scale. The operational impact includes an unprecedented increase in AI-driven threats, reduced discernibility of malicious communications, and a lower barrier to cybercrime participation, leading to broader, more frequent attacks on organizations worldwide. The current relevance of this trend is underscored by the growing commercialization of AI-jailbreaking and attack automation techniques, which are rapidly propagating through cybercrime channels. As these tools proliferate, defenders face a surge in threat volume and complexity, compelling organizations to rethink detection, response, and training in the face of AI-enabled adversaries.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(low)
Read Report
Ni8mare: Critical 2026 n8n RCE Vulnerability Risks Full Server Takeover
Impact· medium

Ni8mare: Critical 2026 n8n RCE Vulnerability Risks Full Server Takeover

In January 2026, over 100,000 self-hosted instances of the n8n open-source workflow automation platform were exposed to complete remote takeover due to a maximum-severity flaw named "Ni8mare" (CVE-2026-21858). The vulnerability arose from a content-type confusion in n8n's webhook parsing logic, allowing unauthenticated attackers to access arbitrary files, exfiltrate sensitive credentials, escalate privileges, and potentially execute arbitrary code. Attackers could exploit this flaw with simple HTTP requests, targeting the platform’s broad deployment in AI orchestration and process automation. This incident highlights the continued risk posed by unauthenticated remote code execution flaws in widely-used DevOps and automation tools, especially as critical secrets and API keys are increasingly concentrated in such orchestration platforms. The rapid rise of AI and automation in enterprise environments elevates both the impact and urgency of addressing similar vulnerabilities.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
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