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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 1225–1236 / 3786 reports
Emerging Ransomware Tactics: BitLocker and Office Printers in 2026
Financial Services3 months ago

Emerging Ransomware Tactics: BitLocker and Office Printers in 2026

In mid-2026, two Latin American organizations experienced ransomware attacks where adversaries exploited misconfigured Remote Desktop Protocol (RDP) and Microsoft SQL Server (MSSQL) services to gain unauthorized access. The attackers utilized Microsoft's BitLocker to encrypt critical data and disseminated ransom notes via compromised office printers. The ransom demands were notably low, around $3,000, indicating a shift towards targeting smaller organizations with modest financial extortion. These incidents underscore the critical need for stringent security configurations and proactive monitoring to prevent such breaches. The use of built-in tools like BitLocker for malicious purposes highlights a growing trend where attackers leverage legitimate software to evade detection. Additionally, the exploitation of office printers as a communication channel for ransom demands reveals an innovative tactic in ransomware operations, emphasizing the importance of securing all network-connected devices.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
Read report
Unveiling Project CAV3RN: APT34's Covert Cyberespionage Tactics

Unveiling Project CAV3RN: APT34's Covert Cyberespionage Tactics

In June 2026, Kaspersky's Threat Intelligence Reporting service detailed Project CAV3RN, a sophisticated modular cyberespionage framework targeting Israeli entities. Active since December 2025, the framework underwent a significant architectural shift in April 2026, transitioning from a three-component system to a controller-based architecture with a WebSocket-enabled C2 communication component and an extensible plugin system. Subsequently, a new .NET Native AOT communication module was identified, utilizing Outlook calendar events accessed via Microsoft Graph for command and control (C2) communications. This module also employs a DNS AAAA-based recovery mechanism to retrieve configuration settings if Microsoft Graph authentication fails. ([securelist.com](https://securelist.com/project-cav3rn-cyberespionage-framework-using-outlook-and-dns/120757/?utm_source=openai)) The emergence of Project CAV3RN underscores the evolving tactics of state-sponsored threat actors, particularly the Iranian-linked group APT34 (OilRig). Their innovative use of legitimate services like Microsoft Graph and DNS for covert communications highlights the need for organizations to enhance monitoring of cloud services and implement robust detection mechanisms to identify and mitigate such sophisticated threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Critical AWS Kiro Vulnerability Allows Remote Code Execution via Hidden Web Content

Critical AWS Kiro Vulnerability Allows Remote Code Execution via Hidden Web Content

In July 2026, a critical vulnerability was discovered in AWS's agentic coding IDE, Kiro. The flaw allowed hidden text on a web page to manipulate Kiro into rewriting its configuration file, leading to remote code execution on developers' machines without their approval. This security lapse was identified by Intezer in collaboration with Kodem Security. AWS has since patched the issue, though no CVE has been assigned. The vulnerability exploited Kiro's ability to autonomously modify its settings, bypassing the intended human approval process. By embedding malicious instructions in concealed text within web pages, attackers could deceive Kiro into executing arbitrary code, posing significant risks to developers and their environments. This incident underscores the growing challenges in securing AI-driven development tools. As these tools become more integrated into software development workflows, ensuring robust security measures and maintaining human oversight are paramount to prevent similar vulnerabilities.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Introducing Google's Gemini 3.5 Flash Cyber: Revolutionizing Vulnerability Detection

Introducing Google's Gemini 3.5 Flash Cyber: Revolutionizing Vulnerability Detection

On July 21, 2026, Google's DeepMind announced the release of Gemini 3.5 Flash Cyber, an AI model designed to rapidly identify, validate, and patch software vulnerabilities. Built upon the 3.5 Flash architecture, this specialized model is tailored for cybersecurity applications, offering a cost-effective and efficient alternative to larger models. Initially, Gemini 3.5 Flash Cyber will be available exclusively to governments and trusted partners through CodeMender, an AI-powered agent for vulnerability discovery and patching. In evaluations, the model demonstrated superior performance, uncovering more unique vulnerabilities compared to its predecessors and other models, including Anthropic's Claude Opus 4.6. For instance, when tested on the V8 JavaScript Engine, Gemini 3.5 Flash Cyber identified 55 unique confirmed issues, surpassing the 47 found by Gemini 3.5 Flash and the 36 by Opus 4.6. This advancement underscores Google's commitment to enhancing software security through AI-driven solutions. ([deepmind.google](https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber/?utm_source=openai)) The introduction of Gemini 3.5 Flash Cyber is particularly relevant in the current cybersecurity landscape, where the rapid identification and remediation of vulnerabilities are critical. As AI models become more adept at discovering security flaws, tools like Gemini 3.5 Flash Cyber provide defenders with a proactive means to address potential threats before they can be exploited. This development reflects a broader trend towards integrating AI into cybersecurity practices to bolster defenses against increasingly sophisticated attacks. ([deepmind.google](https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber/?utm_source=openai))

Threat report

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Hacker 'Trim' Transforms AI Jailbreaks into Offensive Cyber Tool

Hacker 'Trim' Transforms AI Jailbreaks into Offensive Cyber Tool

In March 2026, a Russian-speaking hacker known as "Trim" began publishing detailed guides on jailbreaking publicly available large language models (LLMs) to bypass their safety filters. By July 2026, Trim had developed and commercially launched "AI Pentest Checker," an AI-powered penetration-testing platform that integrates these jailbroken models with offensive security tools. This platform automates reconnaissance, vulnerability validation, exploitation reporting, and generates comprehensive reports, effectively weaponizing AI models for cybercriminal activities. This incident underscores the evolving threat landscape where cybercriminals are increasingly leveraging AI technologies to enhance their attack capabilities. The rapid development and commercialization of such tools highlight the urgent need for organizations to reassess their security postures and implement robust defenses against AI-driven threats.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Ivanti's AI-Driven Discovery of CVE-2026-10520

Ivanti's AI-Driven Discovery of CVE-2026-10520

In June 2026, Ivanti disclosed CVE-2026-10520, a critical OS command injection vulnerability in its Sentry mobile gateway product, allowing remote unauthenticated attackers to execute code with root privileges. Notably, this flaw was identified by Ivanti's deployment of large language models (LLMs) within their engineering and security teams, marking a significant advancement in automated vulnerability detection. This incident underscores the growing role of AI in cybersecurity, highlighting both the potential and challenges of integrating LLMs into security operations. As threat actors increasingly leverage AI for attacks, organizations must adapt by incorporating advanced technologies to enhance their defensive capabilities.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Critical ServiceNow AI Platform Vulnerability CVE-2026-6875 Exploited in the Wild

Critical ServiceNow AI Platform Vulnerability CVE-2026-6875 Exploited in the Wild

In July 2026, a critical vulnerability (CVE-2026-6875) was identified in the ServiceNow AI Platform, allowing unauthenticated attackers to execute arbitrary code by escaping the platform's script sandbox. ServiceNow promptly released patches throughout June 2026 to address this flaw. However, by mid-July, threat intelligence firm Defused reported active exploitation of this vulnerability in the wild, posing significant risks to organizations utilizing the platform. ([thehackernews.com](https://thehackernews.com/2026/07/critical-servicenow-ai-platform-flaw.html?utm_source=openai)) The exploitation of CVE-2026-6875 underscores the increasing targeting of AI platforms by cyber adversaries. This incident highlights the urgency for organizations to apply security patches promptly and to enhance monitoring of AI-driven systems to mitigate emerging threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
ENCFORGE Ransomware Targets AI Model Files via Langflow Exploit

ENCFORGE Ransomware Targets AI Model Files via Langflow Exploit

In July 2026, researchers identified a sophisticated ransomware attack targeting AI infrastructure. The threat actor, known as JADEPUFFER, exploited a critical vulnerability (CVE-2025-3248) in Langflow versions prior to 1.3.0, allowing unauthenticated remote code execution. This breach led to the deployment of ENCFORGE, a Go-based ransomware designed to encrypt AI model files, including model weights, vector indexes, and training datasets. The attack compromised the host filesystem, rendering essential AI resources inaccessible and disrupting operations. This incident underscores a concerning trend: cybercriminals are increasingly focusing on AI and machine learning assets. The targeted nature of ENCFORGE highlights the need for organizations to prioritize the security of their AI infrastructure, especially as such attacks can severely impact business continuity and data integrity.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
Bit2Watt Attack: Unveiling a New Cyber-Physical Threat to Power Grids
Utilities3 months ago

Bit2Watt Attack: Unveiling a New Cyber-Physical Threat to Power Grids

In July 2026, researchers from Zhejiang University unveiled the 'Bit2Watt' attack, demonstrating how cloud tenants can manipulate GPU workloads to induce high-frequency power oscillations. These oscillations have the potential to destabilize local power grids, especially those heavily reliant on renewable energy sources. The attack operates without exploiting traditional vulnerabilities, instead leveraging legitimate computational processes to create power fluctuations that can lead to significant harmonic distortion and system instability. ([thehackernews.com](https://thehackernews.com/2026/07/new-bit2watt-attack-could-let-cloud.html?m=1&utm_source=openai)) This discovery underscores the evolving nature of cyber-physical threats, highlighting the need for integrated security measures that consider both computational workloads and their physical impact on infrastructure. As data centers increasingly adopt GPU clusters and renewable energy, understanding and mitigating such vulnerabilities becomes paramount to ensure grid stability and operational continuity.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Unveiling Critical Security Flaws in Open-Source Android AI Agents
Financial Services3 months ago

Unveiling Critical Security Flaws in Open-Source Android AI Agents

In July 2026, researchers identified critical vulnerabilities in five open-source Android AI agent frameworks—AppAgent, AppAgentX, Mobile-Agent-v3, Open-AutoGLM, and MobA. Malicious Android applications with overlay and shared storage permissions can inject invisible text into the device's screen, which these AI agents process, leading to unauthorized command execution on connected host PCs. The attack exploits the agents' reliance on visual inputs and inadequate input sanitization, allowing attackers to execute arbitrary commands remotely. This incident underscores the emerging security challenges posed by AI-driven automation tools, particularly in mobile environments. As AI agents become more integrated into daily operations, their potential as attack vectors increases, necessitating robust security measures and vigilant oversight to prevent exploitation.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
CISA Highlights Four New Exploited Vulnerabilities in KEV Catalog

CISA Highlights Four New Exploited Vulnerabilities in KEV Catalog

On July 21, 2026, the Cybersecurity and Infrastructure Security Agency (CISA) added four new vulnerabilities to its Known Exploited Vulnerabilities (KEV) Catalog, indicating active exploitation. These vulnerabilities include CVE-2021-27137, a stack-based buffer overflow in DD-WRT; CVE-2026-0770, an inclusion of functionality from untrusted control sphere in Langflow; CVE-2026-63030, an interpretation conflict in WordPress Core; and CVE-2026-60137, an SQL injection in WordPress Core. Such vulnerabilities are common attack vectors for malicious actors and pose significant risks to federal enterprises. The inclusion of these vulnerabilities in the KEV Catalog underscores the ongoing threat posed by unpatched software. Organizations are urged to prioritize remediation of these vulnerabilities to mitigate potential exploitation and enhance their cybersecurity posture.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Urgent: Patch Critical WordPress Vulnerabilities CVE-2026-63030 & CVE-2026-60137

Urgent: Patch Critical WordPress Vulnerabilities CVE-2026-63030 & CVE-2026-60137

In July 2026, two critical vulnerabilities, CVE-2026-63030 and CVE-2026-60137, were discovered in WordPress Core versions 6.8.0 through 7.0.1. These flaws, collectively termed "wp2shell," allow unauthenticated attackers to execute remote code by exploiting a REST API route confusion and an SQL injection vulnerability. The exploitation enables full control over affected WordPress sites, including data access, malicious code installation, and administrative privileges. ([threatprotect.qualys.com](https://threatprotect.qualys.com/2026/07/20/wordpress-wp2shell-vulnerabilities-exploited-in-the-wild-cve-2026-63030-cve-2026-60137/?utm_source=openai)) The widespread use of WordPress, powering over 500 million websites, amplifies the impact of these vulnerabilities. ([threatprotect.qualys.com](https://threatprotect.qualys.com/2026/07/20/wordpress-wp2shell-vulnerabilities-exploited-in-the-wild-cve-2026-63030-cve-2026-60137/?utm_source=openai)) Public proof-of-concept exploits have been released, and active exploitation has been observed in the wild, underscoring the urgency for immediate remediation.

Critical impact

Kill Chain

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