Evidence used
- CISA confirms exploitation in the wild.
- The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
- EPSS is 5.77% for the current model date.
BlackTreeCVE IntelligenceBerriAI · litellm
Official source article: GitHub GHSA-R75F-5X8P-QVMC ↗. Check the applicable product and release in the original source.
CISA confirms exploitation in the wild and lists 2026-05-11 as the remediation due date.
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
| Ecosystem and package | Affected range | First fixed version | Evidence |
|---|---|---|---|
| PyPIlitellm | ECOSYSTEM: introduced 1.81.16; fixed 1.83.7 | 1.83.7 | OSV record ↗aggregator derived · 5 Oct 2026 |
| piplitellm | >= 1.81.16, < 1.83.7 | 1.83.7 | GitHub advisory ↗upstream repository advisory · 5 Oct 2026 |
CISA confirms exploitation in the wild and lists 2026-05-11 as the remediation due date.
Patch availableBerriAI LiteLLM contains a SQL injection vulnerability that allows an attacker to read data from the proxy's database and potentially modify it, leading to unauthorized access to the proxy and the credentials it manages.
BerriAI LiteLLM contains a SQL injection vulnerability that allows an attacker to read data from the proxy's database and potentially modify it, leading to unauthorized access to the proxy and the credentials it manages.
Attacker-controlled data is not kept separate from SQL query syntax, allowing the intended database operation to be changed.
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
BerriAI LiteLLM contains a SQL injection vulnerability that allows an attacker to read data from the proxy's database and potentially modify it, leading to unauthorized access to the proxy and the credentials it manages.
Attacker-controlled data is not kept separate from SQL query syntax, allowing the intended database operation to be changed.
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
CISA added this CVE to its Known Exploited Vulnerabilities catalogue on 2026-05-08.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NCommon Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 8 May 2026 · Last source change 15 Jul 2026, 00:58 UTC · CWE-89 · Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Core structured fields are present and their contributing authorities are shown above.