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Information Technology/IT

Breach intelligence, attack campaigns, and threat reports targeting the Information Technology/IT sector.

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Information Technology/IT Threat Reports

Showing 301–312 / 3786 reports
Plex2Shell: How a Four-CVE Chain Turned Media Servers Into Crypto Mines and Proxy Nodes
Plex2Shell: How a Four-CVE Chain Turned Media Servers Into Crypto Mines and Proxy Nodes

Plex2Shell: How a Four-CVE Chain Turned Media Servers Into Crypto Mines and Proxy Nodes

In October 2026, threat actors began actively exploiting a chained set of four vulnerabilities in Plex Media Server—collectively dubbed Plex2Shell—to achieve unauthenticated remote code execution. The attack chain, involving CVEs 2026-96652, 96654, 96655, and 96656, was weaponized within 24 hours of a public proof-of-concept release on October 16, 2026. Attackers deployed the XMRig-based cryptominer 'mylovelyminer' and a stealthy Linux reverse proxy backdoor named 'myawesomeproxy,' both linked to the AISURU proxyware botnet infrastructure. Plex had patched the flaws in version 1.43.3.10861 released August 3, 2026, but unpatched internet-exposed instances remained vulnerable. This incident underscores the persistent danger of n-day exploitation windows—where attackers race to compromise unpatched systems immediately after PoC publication. The connection to the AISURU botnet signals organized, infrastructure-backed campaigns targeting self-hosted media platforms to harvest compute resources and build covert proxy networks for downstream attacks.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
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GhostAction's Font File Trick: How a Fake Woff2 Asset Stole Secrets from 94 GitHub Repos
GhostAction's Font File Trick: How a Fake Woff2 Asset Stole Secrets from 94 GitHub Repos

GhostAction's Font File Trick: How a Fake Woff2 Asset Stole Secrets from 94 GitHub Repos

In October 2026, the GhostAction threat actor escalated a supply-chain campaign by registering the phishing domain my-github[.]com and deploying a reverse-proxy kit that silently harvested GitHub credentials and 2FA codes, then stealthily authorized OAuth tokens with repo and workflow write permissions. The actor embedded a credential stealer inside a fake font file (fa-solid-400.woff2) committed to 94 repositories across 66 owners, using a VS Code tasks.json runOn:folderOpen trigger to persist on developer machines entirely outside GitHub's runner controls. The stealer harvested AWS keys, PyPI and npm tokens, Kubernetes credentials, SSH private keys, and AI provider secrets, exfiltrating everything over plain HTTP to a single attacker-controlled IP. This incident illustrates a maturing supply-chain playbook in which attackers combine OAuth device-code phishing, IDE auto-execution abuse, and stealer malware disguised as legitimate assets to survive platform-level mitigations. As open-source ecosystems grow more interconnected, a single compromised maintainer account can cascade stolen secrets across thousands of downstream consumers, amplifying both blast radius and regulatory exposure.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
TAG-217 and ARTEX: How AI-Powered Attackers Breached Seven South Korean Banks
TAG-217 and ARTEX: How AI-Powered Attackers Breached Seven South Korean Banks
Banking/Mortgage2 weeks ago

TAG-217 and ARTEX: How AI-Powered Attackers Breached Seven South Korean Banks

In October 2026, threat actor TAG-217 executed a multi-institution cyberattack against at least seven South Korean financial organizations, exposing personal data of approximately 68,000 individuals. Preparations began as early as August 2026, with the actor assembling tools leveraging the open-source AI penetration testing framework ARTEX alongside multiple AI platforms including Claude Code, DeepSeek, Grok, and Zhipu AI. TAG-217, assessed as a Chinese-speaking operator, exploited AI-assisted automation to opportunistically probe systems at scale across diverse targets, using residential proxies to obscure origin. Compromised data included customer records and outsourced developer personal information. This incident marks a significant inflection point in AI-enabled offensive operations. The use of open-source AI pentesting frameworks lowers the barrier for sophisticated, multi-target financial sector intrusions. As agentic attack tooling becomes commoditized, defenders face campaigns that are faster, broader, and harder to attribute—making cloud network segmentation, egress controls, and behavioral anomaly detection essential countermeasures.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
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Fake Claude & ChatGPT Campaigns Are Targeting Your Developers Right Now
Fake Claude & ChatGPT Campaigns Are Targeting Your Developers Right Now

Fake Claude & ChatGPT Campaigns Are Targeting Your Developers Right Now

Between April and October 2026, threat actors launched over 1,258 documented campaigns impersonating popular AI brands including Anthropic's Claude and OpenAI's ChatGPT to target enterprise developers and marketing professionals. Attackers leveraged SEO poisoning, malicious ads, fake GitHub-hosted CLI installers, and ClickFix-style social engineering to trick employees into running malicious terminal commands or pasting payloads into their systems. Successful compromises resulted in the theft of source code, SSH keys, CI/CD tokens, cloud API credentials, and active business session cookies—turning a single user action into broad organizational exposure including financial loss and supply chain risk. These campaigns reflect a rapidly maturing social engineering playbook that weaponizes the AI adoption wave. As enterprises push employees to integrate AI tooling into daily workflows, attackers exploit the resulting trust and urgency. The combination of legitimate hosting infrastructure (Claude.ai, ChatGPT domains, Cloudflare Pages, GitHub) with ClickFix and InstallFix tactics makes detection extremely difficult and signals a durable, escalating threat to developer-heavy organizations.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
BYOVD and EDR Killers: Four Kill-Chain Variants, Four Hunts—Before Ransomware Encrypts Your Files
BYOVD and EDR Killers: Four Kill-Chain Variants, Four Hunts—Before Ransomware Encrypts Your Files

BYOVD and EDR Killers: Four Kill-Chain Variants, Four Hunts—Before Ransomware Encrypts Your Files

Bring Your Own Vulnerable Driver (BYOVD) attacks have become a cornerstone technique enabling ransomware groups such as RansomHub, Black Basta, Kasseika, BlackByte, and LockBit to neutralize endpoint detection and response (EDR) tools before deploying encryption. Attackers load legitimately signed but flawed kernel drivers—exploiting the gap between Microsoft's driver-signing trust model and its incomplete blocklist enforcement—to issue process-termination IOCTLs that kill security agents at Ring 0, bypassing Protected Process Light entirely. The commoditization of purpose-built EDR killers like AvNeutralizer (AuKill) and EDRKillShifter, sold on Russian-language forums for $4,000–$15,000 and distributed through ransomware affiliate programs, has industrialized what was once a sophisticated capability into a repeatable checklist item available to any affiliate operator. The BYOVD threat is no longer a niche kernel-exploitation concern—it is the standard pre-ransomware preparation step across multiple major threat actor ecosystems. With tooling commoditized, affiliate programs distributing EDR killers at scale, and four distinct kill-chain variants (BYOVD, BYOI, admin-to-kernel, and driverless suspension) each evading single-technique detection rules, organizations that rely on endpoint security alone face a widening, often invisible coverage gap that precedes every encryption event.

Critical impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
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CVE-2026-21589: Atlassian Data Center Under Siege as Exploits Hit Within Hours
CVE-2026-21589: Atlassian Data Center Under Siege as Exploits Hit Within Hours

CVE-2026-21589: Atlassian Data Center Under Siege as Exploits Hit Within Hours

Threat actors are actively exploiting CVE-2026-21589, a critical vulnerability in Atlassian Data Center products including Bitbucket, Confluence, and Jira, within two hours of public proof-of-concept release. The flaw allows unauthenticated attackers to access sensitive configuration files through path traversal sequences, potentially exposing administrative credentials and enabling privilege escalation. Multiple enterprises running unpatched Atlassian instances face immediate risk of unauthorized access and data compromise. This incident demonstrates the accelerating timeline between vulnerability disclosure and active exploitation, highlighting the critical importance of rapid patch deployment and network segmentation for enterprise applications exposed to the internet.

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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SneakPeek Vulnerability Exposes Critical AI Development Tool Security Gaps
SneakPeek Vulnerability Exposes Critical AI Development Tool Security Gaps

SneakPeek Vulnerability Exposes Critical AI Development Tool Security Gaps

In July 2026, security researchers at Noma disclosed a high-severity vulnerability dubbed 'SneakPeek' in Anthropic's Claude Code Desktop application. The zero-click vulnerability exploited flaws in the automated preview pane's sandbox architecture, allowing attackers to silently exfiltrate sensitive developer credentials including SSH private keys, AWS tokens, and OAuth credentials. By placing malicious HTML files larger than 256KB in public repositories, attackers could trigger automatic code execution when developers used Claude to review files, bypassing all sandbox protections through missing content security policies and unrestricted origin access. This incident highlights the growing security risks in AI-powered development tools as organizations increasingly integrate autonomous AI agents into critical workflows. The vulnerability required two separate patches after researchers bypassed the initial fix, demonstrating the complexity of securing AI applications and the need for comprehensive runtime protection beyond vendor-provided security baselines.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
The Industrialization of BYOVD: How Ransomware Turned EDR Killing Into Big Business
The Industrialization of BYOVD: How Ransomware Turned EDR Killing Into Big Business

The Industrialization of BYOVD: How Ransomware Turned EDR Killing Into Big Business

Bring Your Own Vulnerable Driver (BYOVD) attacks have evolved from isolated tactics into an industrialized supply chain serving ransomware operators. Research shows attackers successfully disabled security tools in 48% of intrusions in 2024, with BYOVD emerging as the fastest-growing method. What began as custom one-off binaries has transformed into a mature marketplace, with tools like AvNeutralizer selling for $4,000-$15,000 and spreading across multiple ransomware families including Black Basta, LockBit, and RansomHub. The technique leverages thousands of vulnerable signed drivers to achieve kernel-level access and terminate EDR processes, with some attack chains reaching SYSTEM privileges in just 30 milliseconds. This industrialization has dramatically lowered the skill barrier for ransomware affiliates while increasing attack success rates. The threat landscape now features maintained toolkits, versioned releases, and tiered affiliate access models that mirror legitimate software development practices, making BYOVD a structural threat to enterprise security defenses.

Medium impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire
Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire

Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire

In 2026, Microsoft Threat Intelligence exposed Yam Store, a Chinese-language cybercrime marketplace tracked as Storm-3119, responsible for facilitating over one billion phishing emails and SMS messages targeting 75,000 organizations worldwide. The operation sold phishing kits including CoGUI, Haozi, and Iron Man System, along with fraudulently obtained Microsoft and Google cloud domains from legitimate organizations. Storm-3119 leveraged automation to identify expired environments and used legitimate customer information to circumvent detection systems, enabling threat actors to operate seemingly trustworthy phishing infrastructure at scale. This incident highlights the industrialization of phishing-as-a-service operations and the increasing sophistication of cloud infrastructure abuse. As threat actors leverage AI and legitimate cloud services to enhance their campaigns, organizations face unprecedented challenges in distinguishing malicious activity from legitimate communications, making traditional security awareness training and detection methods insufficient.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected
Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected

Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected

A critical authenticated remote code execution vulnerability (CVE-2026-105740, CVSS 9.9) in Langflow, an open-source AI application development platform owned by DataStax and acquired by IBM in February 2025, is being actively exploited by threat actors. The flaw allows any authenticated user to execute arbitrary OS commands through malicious MCP server configurations with zero validation. Previdian honeypot sensors recorded 1,423 exploitation attempts from 27 unique IP addresses across 15 countries since September 2026, with activity significantly ramping up in October. Attackers are using common credentials to authenticate and then exploiting the vulnerability to extract sensitive configurations, access host filesystems, and establish persistent backdoors. This incident highlights the growing threat landscape targeting AI development platforms as organizations rapidly adopt AI technologies without adequate security oversight. The systematic targeting of multiple Langflow vulnerabilities by the same threat actors demonstrates the critical need for securing AI infrastructure as these platforms become integral to business operations.

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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AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches
AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches

AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches

In October 2026, threat actors exploited two critical vulnerabilities (CVE-2026-105133 and CVE-2026-105134) in Ahsay's AhsayCBS backup software to deploy web shells and XMRig cryptocurrency miners. The flaws allowed attackers to chain authentication bypass with remote code execution capabilities on exposed systems. Initial patches released in August 2026 were incomplete, prompting Ahsay to issue emergency hotfixes in versions 10.3.4.45 and 9.15.2.70. The active exploitation led CISA to add both vulnerabilities to the Known Exploited Vulnerabilities catalog with a mandatory October 17, 2026 remediation deadline for federal agencies. This incident highlights the growing trend of cryptojacking attacks targeting enterprise backup infrastructure and the challenges of incomplete vulnerability remediation in critical business systems.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure
GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure

GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure

In October 2026, the GhostAction supply chain attack campaign escalated dramatically, compromising approximately 1,900 GitHub accounts and targeting over 30,000 repositories across 3,000 users and organizations. Threat actors used stolen Personal Access Tokens and credentials from infostealer logs to gain write access to legitimate repositories, then injected malicious GitHub Actions workflows disguised as security audits. The campaign focused on large-scale theft of CI/CD secrets, cloud credentials, package registry tokens, and AI provider API keys through automated secret scanning of repository histories. This incident highlights the growing sophistication of supply chain attacks targeting developer infrastructure and the critical need for enhanced security controls around CI/CD pipelines and secret management in cloud-native environments.

High impact

Kill Chain

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