LiteLLM / LiteLLM

LiteLLM PyPI Supply Chain Compromise — v1.82.7/v1.82.8 Steal Credentials via Malicious Code

Check if LiteLLM package is safe / recover from compromised PyPI install Includes evidence for LiteLLM troubleshooting demand.

Source-backed Last updated May 12, 2026 3 sources Needs local verification

Category: LiteLLM
Error signature: litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth
Quick fix: Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated: May 12, 2026
Verification status: Source-backed
Evidence: 3 public source URLs

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for LiteLLM, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth is a LiteLLM failure pattern reported for developers trying to check if litellm package is safe / recover from compromised pypi install. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

116 comments on GitHub issue. Compromised versions published by attacker who hijacked maintainer PyPI account. Malicious code exfiltrates credentials to attacker-controlled litellm.cloud domain. PyPI package suspended, current releases clean. Engaged Mandiant for investigation.

Common causes

LiteLLM is a widely-used AI gateway/proxy. The PyPI package was hijacked, publishing malicious versions that steal SSH keys, API keys, AWS/GCP/Azure credentials, and crypto wallets. Developers using pip install litellm during the compromise window were infected.
116 comments on GitHub issue. Compromised versions published by attacker who hijacked maintainer PyPI account. Malicious code exfiltrates credentials to attacker-controlled litellm.cloud domain. PyPI package suspended, current releases clean. Engaged Mandiant for investigation.

Quick fixes

Confirm the exact error signature matches litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth.
Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

Verify the command, editor, extension, or API client that produced the error.
Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

Capture the exact error message and the command, editor action, or request that triggered it.
Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
Review the source evidence below and compare it with your environment.
Apply one change at a time and rerun the smallest failing action.
Keep the working fix documented for the team or deployment environment.

How to prevent it

Keep provider/tool configuration documented.
Record non-secret diagnostics such as tool version, provider name, model name, and command path.
Add a lightweight check before CI or production workflows depend on the tool.

Diagnostic flow for this page

Match litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth exactly before applying the quick fix.
Compare the failing environment with LiteLLM versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth mean in LiteLLM?

litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth indicates the workflow described by "LiteLLM PyPI Supply Chain Compromise — v1.82.7/v1.82.8 Steal Credentials via Malicious Code" failed in a LiteLLM context. Start by confirming the exact signature and the component that emitted it.

What should I check first for litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth?

Check whether this cause matches your environment: LiteLLM is a widely-used AI gateway/proxy. The PyPI package was hijacked, publishing malicious versions that steal SSH keys, API keys, AWS/GCP/Azure credentials, and crypto wallets. Developers using pip install litellm during the compromise window were infected.

Is the litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth guidance source-backed?

The "LiteLLM PyPI Supply Chain Compromise — v1.82.7/v1.82.8 Steal Credentials via Malicious Code" page is labeled source-backed. It has 3 public source URLs from github.com, news.ycombinator.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth?

For "LiteLLM PyPI Supply Chain Compromise — v1.82.7/v1.82.8 Steal Credentials via Malicious Code", avoid applying "Compare the failing environment with a known working setup, then change one configuration value at a time." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging litellm PyPI package (v1.82.7 + v1.82.8) compromised — credential theft via malicious code in proxy_server.py and litellm_init.pth?

For "LiteLLM PyPI Supply Chain Compromise — v1.82.7/v1.82.8 Steal Credentials via Malicious Code", collect the failing LiteLLM command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.