GTIG Finds Attackers Quickly Exploited an AI-Discovered BeyondTrust Flaw

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Summary

GTIG found vulnerability disclosures doubled in 2026, while exploitation remained rare. Attackers exploited an AI-discovered BeyondTrust flaw within days and increasingly targeted AI orchestration and serving software.

Key points

  • GTIG examined vulnerability disclosure and exploitation data from January 2025 through August 2026; monthly disclosures rose from 5,045 in January 2026 to 10,740 in August.
  • Only 0.23% of vulnerabilities disclosed in 2026 were observed exploited in the wild, though GTIG recorded 141 exploited vulnerabilities through August, compared with 127 in all of 2025.
  • Half of the vulnerabilities GTIG identified as likely AI-discovered led to remote code execution, compared with 26% of those found by other means.
  • Attackers exploited unauthenticated command injection flaw CVE-2026-1731 in BeyondTrust products within four days of disclosure, using it for initial access, privilege escalation, data theft, and payload deployment.
  • GTIG tracked 2,076 vulnerabilities in AI-related software; attackers targeted orchestration tools including Flowise and Langflow, and serving software including vLLM, Ollama, and LiteLLM.
  • Compromised AI gateways can expose third-party API keys and private prompts containing personal information or proprietary code; GTIG recommends threat-intelligence-driven patch prioritization and targeted defenses.

Article Details

Publisher
Google Threat Intelligence Group (GTIG)
Report Period
2025-01 to 2026-08
Scope
Vulnerability disclosures and exploitation, including vulnerabilities in AI-related software.
Sample Size
GTIG tracked 2,076 vulnerabilities in AI-related software from January 2025 to August 2026.
Key Statistics
  • Monthly CVE disclosures rose from 5,045 in January 2026 to 10,740 in August 2026.
  • GTIG observed 141 exploited vulnerabilities from January through August 2026, compared with 127 in all of 2025.
  • Only 0.23% of vulnerabilities disclosed in 2026 were observed exploited in the wild.
  • Half of vulnerabilities GTIG identified as likely discovered by AI led to remote code execution, compared with 26% of vulnerabilities found by other means.
  • Of 2,076 vulnerabilities tracked in AI-related software from January 2025 to August 2026, more than 1,500 were disclosed in 2026.
Recommendations
  • Transition from unprioritized mass-patching to threat-intelligence-driven triage.
  • Combine targeted edge defense with automated, agentic remediation.

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