U.S. CISA adds SonicWall SonicOS SSLVPN vulnerability CVE-2026-19868 to its Known Exploited Vulnerabilities catalog. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added a SonicWall SonicOS SSLVPN flaw, tracked as CVE-2026-19868 (CVSS score of 7.5), to its Known Exploited Vulnerabilities (KEV) catalog. CVE-2026-19868 is an authentication bypass vulnerability affecting the SSL VPN service in SonicWall SonicOS. “An authentication enforcement vulnerability in SonicOS SSLVPN service may allow a user with valid credentials for an alternate authentication method to bypass SAML authentication controls. Successful exploitation may also bypass SAML-enforced multi-factor authentication (MFA).” reads the advisory. The flaw occurs when the system does not properly enforce SAML authentication controls. An attacker who already has valid credentials for an alternative authentication method may exploit this weakness to bypass SAML-based authentication. The impact is particularly serious when organisations rely on SAML to enforce multi-factor authentication (MFA). Successful exploitation may allow an attacker to access the SSL VPN without completing the expected SAML authentication process, potentially bypassing the additional MFA protection. In practical terms, the vulnerability could weaken an organisation’s remote access security by allowing users with alternative valid credentials to circumvent its intended authentication controls. It’s important to highlight that this is not an unauthenticated remote access vulnerability. The attacker needs valid credentials for an alternative authentication method, but may then bypass SAML-enforced security controls. SonicWall’s PSIRT team is investigating a report of possible exploitation of this flaw. The company strongly recommends that customers install the latest available update as soon as possible to reduce the risk of attacks. “SonicWall PSIRT has investigated a report indicating potential exploitation of this vulnerability. Customers are strongly urged to upgrade to the latest release as soon as possible to mitigate the associated risks.” reads the advisory. According to Binding Operational Directive (BOD) 22-01: Reducing the Significant Risk of Known Exploited Vulnerabilities, FCEB agencies have to address the identified vulnerabilities by the due date to protect their networks against attacks exploiting the flaws in the catalog. Experts also recommend that private organizations review the Catalog and address the vulnerabilities in their infrastructure. CISA orders federal agencies to fix the flaw by November 20, 2026. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, CISA)
SonicWall has released security updates to fix seven vulnerabilities in SonicOS firewalls, including an SSL-VPN authentication bypass flaw exploited in attacks. The vulnerability, tracked as CVE-2026-19868, allows attackers with valid credentials for an alternate authentication method to bypass SAML authentication controls, potentially including SAML-enforced multi-factor authentication (MFA). The flaw has a CVSS severity score of 7.1 and only affects SonicOS SSL-VPN services configured to use SAML authentication. In a security advisory published Friday, SonicWall warned that it had investigated a report that the vulnerability was exploited in an attack and urged customers to install the latest security updates. "SonicWall PSIRT has investigated a report indicating potential exploitation of this vulnerability. Customers are strongly urged to upgrade to the latest release as soon as possible to mitigate the associated risks," the company warned.
Passwords and API keys that developers typed into commands they approved in Claude Code are sitting in public GitHub repositories, where anyone can read them. When a user selects "Yes, and don't ask again," Anthropic's AI coding assistant can save the command, word-for-word, including the secret, in a project settings file. Software security company Apiiro said yesterday that 1,122 public
WorkOS says an AI-powered hacking agent that breached its internal sales application and accessed customer information was operated by a security researcher who claims the tool escaped its testing environment and unintentionally attacked the company.
Unit 42 examines recent cyberattacks targeting European refrigeration systems and outlines defense and mitigation strategies. The post Turning Up the Heat: Inside the Attacks on Europe’s Refrigeration System appeared first on Unit 42.
OpenAI has revealed GPT-6 Cyber, a new artificial intelligence model that has discovered 81 previously unknown high-severity Firefox vulnerabilities and developed working exploits for 948 distinct Linux kernel flaws. The company announced the model on Thursday, saying it significantly improves on earlier AI models in finding software vulnerabilities, validating their impact, and helping developers create fixes. During security testing, GPT-6 Cyber discovered 81 previously unknown high-severity vulnerabilities in Firefox and helped develop patches, many of which Mozilla has already released. In separate Linux kernel research, the model identified 2,308 potential security flaws, successfully reproduced 1,724 vulnerabilities, and developed local privilege escalation exploits for 948 distinct vulnerabilities that could allow an unprivileged user to gain root access.
Cybersecurity professionals are being targeted with infected security projects on GitHub that deploy a backdoor and information stealer malware. The campaign started about two years ago and initially targeted crypto wallet users, but recently the threat actor switched focus and published malicious repositories for automating scans, security testing, and log analysis. Researchers at cybersecurity company Dr. Web found that more than 2,000 Windows systems have been compromised so far. One malicious repository they found is a fake script advertised as a lightweight solution to parse, clean, and format output from the Fscan network scanner. Previous lures included blockchain games, bots, and cheat tools, typically targeting blockchain and game enthusiasts. Dr. Web's investigation found malicious code embedded in Visual Studio project files, Python scripts, and Go source files, hidden behind long stretches of whitespace, an old technique that still proves effective.
Veeam warned customers about boot failures affecting Software Appliance virtual machines (VMs) on hosts with AMD EPYC processors. The company's Software Appliance VMs are pre-configured, Linux-based virtual machines that let admins run the Veeam Backup & Replication backup software suite on Linux devices without manually installing dependencies or configuring the software. To comply with corporate and government security frameworks, the underlying Linux kernel runs integrated health and cryptographic checks (such as jitterentropy health tests) in FIPS mode during early boot. However, as the company explained in a Wednesday advisory, these VMs will fail to boot and will crash with a kernel panic after failing an early-boot FIPS-mode jitterentropy check on some AMD EPYC processors. "A Veeam Software Appliance (Linux-based Veeam Backup & Replication) virtual machine running on a host with an AMD EPYC processor intermittently fails to boot after a reboot, including a reboot that follows an update that installs a new kernel," it said.
Threat actors are attempting to exploit a recently disclosed security flaw impacting OpenSSH that can enable sign-ins to accounts that have no password set, according to Previdian. The vulnerability, tracked as CVE-2026-123158 (CVSS score: 8.1) and codenamed SSHole (or *sshole), impacts Linux systems that run OpenSSH on the musl C library with Pluggable Authentication Modules (PAM) disabled,
OpenAI on Thursday unveiled GPT‑6 Cyber, which it described as a major step forward in security research that brings together stronger cybersecurity capabilities with a step-change improvement in model alignment. The new model is "more capable at finding and fixing vulnerabilities, and far more reliable staying within the boundaries researchers set," OpenAI said. It has classified the model as
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