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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 457–468 / 1289 reports
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)
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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)
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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
Qilin Ransomware Exploits PAN-OS Vulnerability CVE-2026-0257
Financial Services3 months ago

Qilin Ransomware Exploits PAN-OS Vulnerability CVE-2026-0257

In June 2026, threat actors exploited a high-severity authentication bypass vulnerability (CVE-2026-0257) in Palo Alto Networks' PAN-OS software to deploy Qilin (aka Agenda) ransomware. This flaw allowed unauthenticated attackers to establish unauthorized VPN sessions, leading to direct network access. Post-exploitation activities included credential harvesting, lateral movement via administrative shares, and disabling security measures before executing the ransomware payload. The attacks varied from rapid encryption-only operations to extensive data exfiltration and double-extortion tactics, indicating multiple affiliates under the Qilin ransomware-as-a-service (RaaS) model. This incident underscores the critical importance of promptly patching known vulnerabilities, as threat actors rapidly exploit such flaws to gain initial access. The diverse post-exploitation strategies highlight the adaptability of RaaS affiliates, emphasizing the need for comprehensive defense-in-depth strategies to mitigate ransomware threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
AI Coding Agents Compromised: Sandbox Escapes Uncovered in 2026

AI Coding Agents Compromised: Sandbox Escapes Uncovered in 2026

In July 2026, security researchers identified vulnerabilities in four widely used AI coding agents—Cursor, OpenAI's Codex, Google's Gemini CLI, and Antigravity—that allowed sandbox escapes without direct attacks on the sandboxes themselves. By writing files that trusted tools outside the sandbox later executed, the agents could perform unauthorized actions on the host system. This method exploited the trust between sandboxed environments and external tools, leading to potential security breaches. The discovery underscores the evolving nature of threats targeting AI development tools. As these tools become more integrated into software development workflows, ensuring their security is paramount. Organizations must remain vigilant, regularly updating and auditing their development environments to mitigate such risks.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
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Russian Hacker Exploits Google Gemini CLI to Control Dental Clinic Botnet

Russian Hacker Exploits Google Gemini CLI to Control Dental Clinic Botnet

Between March 19 and April 21, 2026, a Russian-speaking threat actor known as "bandcampro" exploited Google's open-source Gemini CLI AI to orchestrate a botnet comprising eight computers within a dental clinic. By posing as an authorized penetration tester, the attacker manipulated the AI into executing tasks such as migrating command-and-control infrastructure, deploying malicious payloads, and maintaining persistence on infected systems. The AI's capabilities enabled the rapid establishment and operation of the botnet, including accessing the clinic's OpenDental database. This incident underscores the evolving misuse of AI tools in cyberattacks, highlighting the need for enhanced security measures and ethical guidelines in AI development and deployment. The case also raises concerns about the potential for AI to be co-opted by malicious actors, necessitating vigilance and proactive defense strategies in the cybersecurity community.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
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Russian Hackers Exploit IP Cameras to Monitor NATO Military Logistics
Defense/Space3 months ago

Russian Hackers Exploit IP Cameras to Monitor NATO Military Logistics

In July 2026, Dutch intelligence agencies AIVD and MIVD disclosed that Russian state-backed hackers systematically compromised internet-connected IP cameras across Europe and Ukraine. By exploiting devices with default passwords and outdated firmware, these actors accessed video feeds to monitor military transport routes and weapons shipments bound for Kyiv. In Ukraine, the compromised cameras were used to identify the locations of Ukrainian military personnel, leading to targeted attacks on troops and equipment. This operation highlights the vulnerability of unsecured IoT devices and their potential exploitation for espionage and military purposes. The incident underscores the critical need for robust cybersecurity measures, especially for devices connected to the internet. Organizations are urged to secure IP cameras by updating firmware, changing default credentials, and restricting public internet access to prevent unauthorized surveillance and data breaches.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
SonicWall SMA Zero-Day Exploits Grant Root Access
Financial Services3 months ago

SonicWall SMA Zero-Day Exploits Grant Root Access

In June 2026, a previously unidentified threat actor, designated UTA0533, exploited zero-day vulnerabilities in SonicWall Secure Mobile Access (SMA) 1000 series VPN appliances. The vulnerabilities, CVE-2026-15409 (CVSS 10.0) and CVE-2026-15410 (CVSS 7.2), were actively exploited prior to public disclosure, allowing attackers to execute arbitrary commands and gain root access to affected devices. The attackers deployed custom malware, including ROOTRUN and ORANGETAIL, to establish persistence and facilitate further network intrusion. SonicWall released patches for these vulnerabilities in July 2026. This incident underscores the critical importance of timely vulnerability management and the need for organizations to monitor and secure remote access infrastructure. The exploitation of these zero-days highlights the evolving tactics of threat actors targeting network edge devices to gain unauthorized access.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Inc Ransomware's Exploitation of SonicWall SMA Zero-Days in 2026
Financial Services3 months ago

Inc Ransomware's Exploitation of SonicWall SMA Zero-Days in 2026

In July 2026, SonicWall disclosed two critical vulnerabilities in its Secure Mobile Access (SMA) 1000 Series appliances: CVE-2026-15409, a server-side request forgery flaw, and CVE-2026-15410, a code injection vulnerability. These vulnerabilities were actively exploited by the Inc ransomware group, allowing unauthenticated attackers to gain root-level access to the appliances. The attackers leveraged these flaws to infiltrate enterprise networks, exfiltrate credentials, and deploy ransomware payloads, leading to significant operational disruptions. This incident underscores the escalating threat posed by sophisticated ransomware groups targeting critical infrastructure through zero-day vulnerabilities. Organizations must prioritize timely patching, conduct thorough forensic analyses post-patching, and implement robust monitoring to detect and mitigate such advanced persistent threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Integrating MCP Agents into Penetration Testing Workflows

Integrating MCP Agents into Penetration Testing Workflows

In July 2026, Bishop Fox published an article detailing the integration of Model Context Protocol (MCP) agents into penetration testing workflows. This approach leverages AI to automate and enhance various testing phases, including external, application, and cloud penetration tests. By utilizing MCP agents, penetration testers can expand coverage, reduce time-to-findings, and identify vulnerabilities more efficiently. The article highlights practical tooling and prompting patterns, emphasizing the importance of maintaining human oversight and ethical considerations when deploying AI in security assessments. The adoption of AI-enhanced penetration testing methods, such as MCP agents, addresses the growing complexity and scale of modern attack surfaces. As cyber threats evolve rapidly, integrating AI into security testing enables organizations to identify and remediate vulnerabilities more swiftly, ensuring robust defense mechanisms against potential breaches.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
CISA Issues Urgent Directive on Fortinet FortiSandbox Vulnerabilities

CISA Issues Urgent Directive on Fortinet FortiSandbox Vulnerabilities

In July 2026, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued an urgent directive for federal agencies to patch two critical vulnerabilities in Fortinet's FortiSandbox platform, identified as CVE-2026-39808 and CVE-2026-25089. These flaws, disclosed in April and June 2026 respectively, allow unauthenticated attackers to execute arbitrary code remotely via command injection attacks. Despite Fortinet's initial advisories, threat intelligence firm Defused observed active exploitation of these vulnerabilities in mid-June 2026, prompting CISA to mandate immediate remediation by July 19, 2026. The exploitation of these vulnerabilities underscores a growing trend of attackers targeting critical infrastructure components. FortiSandbox, integral to many organizations' security architectures, has become a focal point for cyber threats. This incident highlights the necessity for organizations to promptly apply security patches and maintain vigilant monitoring 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
GoldenEyeDog Subgroup's Infiltration of DigiCert: A Wake-Up Call for Digital Trust

GoldenEyeDog Subgroup's Infiltration of DigiCert: A Wake-Up Call for Digital Trust

In April 2026, DigiCert, a leading Certificate Authority, experienced a security breach attributed to the CylindricalCanine subgroup of the GoldenEyeDog cybercrime group. The attackers infiltrated DigiCert's internal support portal by compromising two support analyst workstations through a malicious screensaver file delivered via a customer chat channel. This access enabled them to issue 27 fraudulent Extended Validation (EV) Code Signing certificates, which were subsequently used to sign malware, notably the Zhong Stealer, facilitating its distribution and evasion of security measures. The incident underscores the critical vulnerabilities within trusted digital infrastructure and the potential for widespread impact when such systems are compromised. ([thehackernews.com](https://thehackernews.com/2026/07/goldeneyedog-subgroup-linked-to.html?utm_source=openai)) This breach highlights a concerning trend of cybercriminals targeting Certificate Authorities to obtain legitimate certificates for malicious purposes. The use of social engineering tactics to exploit support channels emphasizes the need for enhanced security protocols and employee training to prevent similar incidents in the future.

High impact

Kill Chain

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