Topic

Cisco

🇵🇹Aug 7

Cisco Patches Seven Critical IOS XE Vulnerabilities Including CVSS 9.8 Command Injection Flaw

Cisco has released security updates to address seven vulnerabilities in IOS XE, the operating system powering routers, switches, wireless controllers, and other enterprise network devices. The highest-severity issue, tracked as CVE-2026-20272 with a CVSS score of 9.8, stems from improper handling of special elements in commands and could enable remote command injection, unauthorized operations, and full device compromise over the network. Additional flaws impact memory management, resource lifecycle, numeric calculations, execution flow, and input validation, potentially leading to buffer overflows, out-of-bounds writes, crashes, infinite loops, and directory traversal. The vulnerabilities affect IOS XE versions 17.9, 17.12, 17.15, 17.18, and 26.1 in both standalone and controller modes regardless of configuration. Fixed releases include 17.9.10, 17.12.8, 17.15.6, 17.18.4, 17.18.4a, and 26.1.2, with no available workarounds. The issues were discovered during internal testing that incorporated advanced AI models, and no evidence of public exploitation has been observed.

BoletimSec•Vulnerabilities & Exploits
🇷🇺Aug 2

How IT Professionals Risk Leaking Confidential Data When Using ChatGPT and Other LLMs

Artificial intelligence tools such as ChatGPT, Claude and Gemini have become daily instruments for network engineers, SOC analysts and system administrators who use them to analyze logs, debug configurations and generate scripts. The convenience comes with a serious risk: employees frequently paste large volumes of internal data into these cloud services without considering what information leaves the organization. Real-world examples include SOC teams uploading multi-thousand-line logs containing internal IP addresses, employee emails and authentication tokens, as well as network engineers sending running-config files from Cisco, FortiGate and Palo Alto devices. These files reveal VLAN structures, VPN peers, SNMP community strings and LDAP server addresses, providing attackers with valuable reconnaissance material. The Malwarebytes research team documented concrete cases where the Share function in AI platforms exposed sensitive corporate information. The underlying driver is not negligence but the universal desire to complete routine tasks faster, turning an efficiency tool into a potential data-exfiltration vector for banks, government agencies and healthcare organizations.

Habr•AI Security