Berry AI A.I CyberSecurity Scoring
Berry AI
Company Information
Website:https://www.berry-ai.com
Employees number:36
Number of followers:1,332
NAICS:5112
Industry Type:Software Development
Homepage:berry-ai.com
Berry AI Risk Score (AI oriented)
Between 700 and 749
Berry AISoftware Development
Updated:
09/06/2026
09/06/2026
749/1000
Moderate
Ba
Berry AI Global Score (TPRM)
xxxx
Berry AISoftware Development
Score locked

Berry AIModerate
Current Score
749Ba (MODERATE)
01000
1 incidents
-3 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
749
MAY 2026
749
APRIL 2026
751
Vulnerability
01 Apr 2026 • Berry AI
BerryAI: LiteLLM vulnerability under active attack, CISA warns (CVE-2026-42271)
Critical Command Injection Flaw in LiteLLM AI Gateway Under Active Exploitation
748
CRITICAL-3
BER1781007894
Critical Command Injection Flaw in LiteLLM AI Gateway Under Active Exploitation
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added CVE-2026-42271, a command injection vulnerability in BerryAI’s LiteLLM open-source AI gateway, to its Known Exploited Vulnerabilities (KEV) catalog after confirming active exploitation. The flaw, disclosed in April 2026, affects organizations using LiteLLM a widely adopted library that standardizes interactions with multiple large language model (LLM) APIs under a single OpenAI-compatible interface.
### Vulnerability Details
LiteLLM is used by developers and enterprises to manage API keys, route AI traffic, and avoid vendor lock-in, either as a Python SDK or a standalone proxy server. The vulnerability stems from improper input sanitization in two endpoints `POST /mcp-rest/test/connection` and `POST /mcp-rest/test/tools/list` which allowed authenticated users (including those with low-privilege API keys) to execute arbitrary commands on the host system. Exploitation required only a valid proxy API key, with no role-based access controls in place.
### Exploitation Risks & Attack Chain
Initially, attackers needed a valid API key to exploit CVE-2026-42271, but researchers at Horizon3.ai discovered that the requirement could be bypassed by chaining it with CVE-2026-48710 ("BadHost"), an authentication bypass flaw in Starlette, the Python web framework underpinning LiteLLM. Successful exploitation enables:
- Arbitrary command execution on the LiteLLM host
- Theft of model provider credentials and API keys
- Lateral movement into connected AI infrastructure
- Compromise of downstream systems
CVE-2026-48710 was patched in Starlette v1.0.1, while CVE-2026-42271 was addressed in LiteLLM v1.83.7, which introduced role-based restrictions (limiting test endpoint access to PROXY_ADMIN users) and updated Starlette dependencies.
### Mitigation & Federal Response
Organizations using LiteLLM are urged to upgrade to v1.83.7 or, if immediate patching is not feasible, block access to the vulnerable MCP test endpoints and restrict network access to trusted segments. Credentials stored by the proxy should also be rotated. CISA has mandated U.S. federal civilian agencies to remediate the flaw by June 22, 2026.
### Broader Context
This marks the second time in a month that LiteLLM has been targeted by attackers. In March 2026, threat group TeamPCP compromised BerryAI’s supply chain, publishing malicious LiteLLM versions on the Python Package Index (PyPI). No details have been released about the current exploitation campaigns or whether CVE-2026-48710 is being actively leveraged alongside the command injection flaw.
INCIDENT DETAILS -
TYPE
IMPACT
DATA BREACH
REFERENCES
MARCH 2026
751
FEBRUARY 2026
751
JANUARY 2026
751
DECEMBER 2025
751
NOVEMBER 2025
751
OCTOBER 2025
751
SEPTEMBER 2025
751
AUGUST 2025
751
JULY 2025
751
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