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Dark Reading
Researchers at Abnormal Security said threat actors are using a legitimate presentation and graphic design tool named "Gamma" in phishing attacks.
The Hacker News
The threat actors behind the BazaCall call back phishing attacks have been observed leveraging Google Forms to lend the scheme a veneer of credibility. The method is an "attempt to elevate the perceived authenticity of the initial malicious emails," cybersecurity firm Abnormal Security said in a report published today. BazaCall (aka BazarCall), which was first
Graham Cluley
On Tuesday 11 April, I'll be joined by the CISOs of security firms Wiz, Rubrik, Noname, and Abnormal, for a friendly chat about how they protect their organisations from the huge number of threats targeting them. I hope to see some of you there!
ThreatPost
Crane Hassold, former FBI analyst turned director of threat intel at Abnormal Security, shares stories from his covert work with cyberattackers.
CISA advisories
View CSAF Summary The products listed below contain an out-of-bounds read vulnerability that could allow an attacker to cause abnormal product behavior, instability, or denial of service. Siemens has released a new version for Capital Embedded AR Classic R20-11 and recommends updating to the latest version. Siemens is preparing further fix versions and recommends specific countermeasures for products where fixes are not, or not yet available. The following versions of Siemens Capital Embedded AR Classic are affected: Capital Embedded AR Classic 431-422 vers:all/* (CVE-2026-89208) Capital Embedded AR Classic R20-11 vers:intdot/<2303 (CVE-2026-89208) CVSS Vendor Equipment v3 5.3 Siemens Capital Embedded AR Classic 431-422 1 Vulnerability Out-of-bounds Read Background Critical Infrastructure Sectors: Critical Manufacturing, Transportation Systems, Energy, Healthcare and Public Health, Financial Services, Government Services and Facilities Countries/Areas Deployed: Worldwide Company Headquarters Location: Germany Vulnerabilities CVE-2026-89208 The affected product does not properly validate input bounds before accessing packet data. This could allow an unauthenticated remote attacker to trigger memory reads outside the intended packet boundaries. Read More 2 Affected Products Capital Embedded AR Classic 431-422 Product Status: known_affected Remediations MitigationApply network segmentation and put the ECUs behind properly configured gateways/firewalls No fix plannedCurrently no fix is planned Capital Embedded AR Classic R20-11 < V2303 Product Status: known_affected Remediations MitigationApply network segmentation and put the ECUs behind properly configured gateways/firewalls Vendor fixUpdate to V2303 or later version Additional Metrics Relevant CWE: CWE-125 Out-of-bounds Read CVSS Version Base Score Base Severity Vector String 3.1 5.3 MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N View CVE Details Acknowledgments Siemens ProductCERT reported this vulnerability to CISA. General Recommendations As a general security measure, Siemens strongly recommends to protect network access to devices with appropriate mechanisms. In order to operate the devices in a protected IT environment, Siemens recommends to configure the environment according to Siemens' operational guidelines for Industrial Security (Download: https://www.siemens.com/cert/operational-guidelines-industrial-security), and to follow the recommendations in the product manuals. Additional information on Industrial Security by Siemens can be found at: https://www.siemens.com/industrialsecurity Additional Resources For further inquiries on security vulnerabilities in Siemens products and solutions, please contact the Siemens ProductCERT: https://www.siemens.com/cert/advisories Terms of Use The use of Siemens Security Advisories is subject to the terms and conditions listed on: https://www.siemens.com/productcert/terms-of-use. Recommended Practices CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities. Minimize network exposure for all control system devices and/or systems, ensuring they are not accessible from the internet. Locate control system networks and remote devices behind firewalls and isolating them from business networks. When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most current version available. Also recognize VPN is only as secure as the connected devices. CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures. CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov/ics. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies. CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets. Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov/ics in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies. Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents. Advisory Conversion Disclaimer This ICSA is a verbatim republication of Siemens ProductCERT SSA-055299 from a direct conversion of the vendor's Common Security Advisory Framework (CSAF) advisory. This is republished to CISA's website as a means of increasing visibility and is provided "as-is" for informational purposes only. CISA is not responsible for the editorial or technical accuracy of republished advisories and provides no warranties of any kind regarding any information contained within this advisory. Further, CISA does not endorse any commercial product or service. Please contact Siemens ProductCERT directly for any questions regarding this advisory. Revision History Initial Release Date: 2026-10-13 Date Revision Summary 2026-10-13 1 Publication Date 2026-10-22 2 Initial CISA Republication of Siemens ProductCERT SSA-055299 advisory Legal Notice and Terms of Use
The Hacker News
Threat actors are leveraging an artificial intelligence (AI) powered presentation platform named Gamma in phishing attacks to direct unsuspecting users to spoofed Microsoft login pages. "Attackers weaponize Gamma, a relatively new AI-based presentation tool, to deliver a link to a fraudulent Microsoft SharePoint login portal," Abnormal Security researchers Hinman Baron and Piotr Wojtyla said in
The Hacker News
Threat actors are leveraging an e-crime tool called Atlantis AIO Multi-Checker to automate credential stuffing attacks, according to findings from Abnormal Security. Atlantis AIO "has emerged as a powerful weapon in the cybercriminal arsenal, enabling attackers to test millions of stolen credentials in rapid succession," the cybersecurity company said in an analysis. Credential stuffing is a
Dark Reading
Cloud native application protection platforms can apply machine learning algorithms on cloud data to identify accounts with abnormal permissions and uncover potential threats.