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Compromised LiteLLM 1.107.0 on PyPI Installs a Credential Stealer and Backdoor

Article URL: https://safedep.io/litellm-pypi-compromise-credential-stealer-backdoor/ Comments URL: https://news.ycombinator.com/item?id=50181114 Points: 293 # Comments: 108

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tech4you AI
October 22, 20266 min read
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The LiteLLM 1.107.0 release on PyPI carries a credential stealer and a remote code execution backdoor. All seven wheels (Linux, macOS, Windows) install them as three files in site-packages. Both run when any Python process starts on the host, even one that never imports litellm. The upstream GitHub source does not contain them.

LiteLLM confirmed the compromise in its incident report, which lists remediation steps. PyPI removed the release by 13:23 UTC on 2026-10-21. The Docker images v1.107.0, latest, main-latest, and main-stable on Docker Hub and GHCR also carried the malicious code between 11:46 and 14:20 UTC.

Versions 1.106.2, 1.107.0rc1, and 1.107.0rc2 are clean. The companion packages that 1.107.0 pins, litellm-proxy-extras==0.4.110 and litellm-enterprise==0.1.78, are also clean.

What the attack does

Installing litellm==1.107.0 places three files in site-packages. Python loads two of them each time it starts.

  1. cook.pth imports cook.py, a credential stealer. It collects SSH keys, cloud credentials, CI/CD secrets, AI tool tokens, browser passwords, and the LLM provider keys in a LiteLLM proxy database. It encrypts the data and sends it to www.litellm[.]dev.
  2. sitecustomize.py starts a background daemon. Every hour, the daemon reads a server address from a GitHub file, runs the stealer again, and downloads and runs code from that server.

How the implant got into the release

The pyproject.toml in the 1.107.0 source distribution (sdist) has one extra line in the maturin build section:

pyproject.toml (litellm-1.107.0.tar.gz)

TOML 6 lines

The maturin data = "cook" setting copies a cook/ folder into litellm-1.107.0.data/purelib/ in the wheel. pip installs that folder into site-packages.

The sdist leaves out the cook/ folder, so this line is the only visible change. No public commit in BerriAI/litellm contains data = "cook" or a cook/ folder.

The wheel RECORD lists the three added files:

litellm-1.107.0.dist-info/RECORD

TEXT 4 lines

How the attacker published it

LiteLLM’s incident report says the attacker held the GitHub CLI credentials of three developers. LiteLLM believes the attacker took them from the logs of an internal LiteLLM deployment exposed to the internet. With an organization owner’s token, the attacker bypassed branch protection and pointed the private release workflow at a lookalike repository, Berri-AI/litellm. The attacker then passed the approval gate with a second developer’s credential, and the official pipeline built, signed, and published the artifacts.

Payload 1: the credential stealer in cook.py

At startup, Python runs each line that starts with import in a .pth file in site-packages. cook.pth contains import cook, so the stealer runs in every Python process on the host: the application, pip, IDE language servers, and CI jobs.

cook.py wraps about 61 KB of Python in one layer of exec(zlib.decompress(base64.b64decode('...'))). The decoded code starts with this configuration:

What it collects

ModuleTargets
sysinfo, netinfoHost name, user, operating system, IP addresses, network settings
browser_pwChromium saved passwords, decrypted with the profile master key (DPAPI on Windows). Firefox logins.json and key4.db
browser_histBrowser history
ssh_keys~/.ssh/*
shell_histbash and zsh history, PowerShell PSReadLine, cmd history
cloud_creds~/.aws/credentials and config, Azure profile and tokens, gcloud credentials, ~/.kube/config, ~/.docker/config.json, gh hosts.yml, rclone.conf, ~/.netrc
dev_secrets.pem, .key, .pfx, .p12, .pk8, .ppk files under $HOME, Composer auth.json, FileZilla saved servers
container_credsKubernetes service account token
cicd_secretsGitLab runner config.toml, Jenkins initialAdminPassword and master.key, .vault-token, Terraform credentials.tfrc.json, Packer settings
ai_devtoolsClaude Code, Claude Desktop, Cursor, Windsurf, Copilot, VS Code mcp.json, Gemini CLI, Codex auth.json, Continue, Aider, Goose, opencode, Qwen, Crush, Kiro, Zed, Hugging Face token
env_varsIts own environment and the environment of other processes through /proc/<pid>/environ
db_litellmReads DATABASE_URL and dumps the LiteLLM_CredentialsTable and LiteLLM_ProxyModelTable tables, which hold the LLM provider API keys of a LiteLLM proxy
cloud_metadataAWS instance metadata service (IMDSv2, then v1): instance identity and role credentials
gpg_keys, tls_privkeyGPG keys, TLS private keys

How it sends the data

  1. It encrypts the JSON results with a random AES-256-CBC key, and encrypts that key with RSA-OAEP and the embedded public key.
  2. It packs the result into a tar.gz (hdr.json, data.bin, key.bin) and sends it in a POST request to www.litellm[.]dev/healthcheck with the header X-Token: XWiA8gZNa7NcX2XRoAEb.
  3. After a successful upload, it writes /tmp/.pc_once_72129118c59f5636c0bb so it collects only once per host. It also sets PRIVCOLLECT_ACTIVE=1 to avoid a second run in the same process tree.

Payload 2: the backdoor in sitecustomize.py

Python imports sitecustomize at startup, so this file also runs in every Python process.

  1. It takes an exclusive lock on /tmp/remote_code_loader.lock, so only one daemon runs per host.
  2. It calls fork() and setsid(), sends standard input and output to /dev/null, and changes directory to / to detach from the parent process.
  3. Every hour, it:
    1. reads domain.txt from the attacker’s GitHub repository and takes the first line that looks like a domain,
    2. runs its embedded copy of the stealer, which has no once-per-host marker,
    3. downloads http://<domain>/codepy and runs it with exec().

The attacker can point the daemon at a new server by editing domain.txt. Each infected host runs whatever that server returns as codepy.

At 13:40 UTC, the GitHub account letters9813 and its repository returned 404, about two hours after the release. The backdoor now finds no server address and does nothing. Hosts that ran the daemon before the deletion could have received and run second-stage code. SafeDep could not recover the server address.

Timeline

All times are UTC on 2026-10-21, from LiteLLM’s report unless noted.

TimeEvent
10:08Attacker overrides branch protection and changes the release workflow
10:46Staging run builds from Berri-AI/litellm
11:39 to 11:40Seven malicious wheels uploaded to PyPI
11:46Malicious Docker images published
13:23PyPI removes 1.107.0
13:40GitHub account letters9813 returns 404 (SafeDep)
14:20Docker Hub tags removed or repointed to clean images

Indicators of compromise

Network

IndicatorPurpose
www.litellm[.]dev, hxxp://www.litellm[.]dev/healthcheckReceives stolen data
HTTP header X-Token: XWiA8gZNa7NcX2XRoAEbSent with each upload
raw.githubusercontent[.]com/letters9813/pythonclient-test/main/domain.txtBackdoor reads its server address here (account deleted)
hxxp://<domain>/codepySecond-stage code download
Requests to 169.254.169.254 from Python processesTheft of AWS instance credentials

Host

IndicatorMeaning
cook.pth, cook.py, sitecustomize.py in site-packagesImplant installed
/tmp/.pc_once_72129118c59f5636c0bbStealer already uploaded data
/tmp/remote_code_loader.lockBackdoor daemon has run
Environment variable PRIVCOLLECT_ACTIVE=1Present in infected processes
Detached Python daemon (parent PID 1, own session, working directory /)Backdoor loop

Container images

TagsImage index digest
v1.107.0, latest, main-latest, main-stablesha256:1bbcb1443bc962e45f5aad53fe3d2c30600e0379715fb6c664cdd3ac126c339e

LiteLLM’s report lists this digest for berriai/litellm on Docker Hub and ghcr.io/berriai/litellm.

File hashes (SHA-256)

FileSHA-256
litellm-1.107.0.tar.gz2befe2a79fb4fbbd9a543b5b40b530c8cffa8771bab22b8fb22b2e4ae3b1f819
litellm-1.107.0-cp310-abi3-manylinux_2_28_x86_64.whl462d0c9f67ca522d9e0e4acd245e90b36ce0d5353604a66bb7c43a1ec4a6fcf7
litellm-1.107.0-cp310-abi3-manylinux_2_28_aarch64.whl668169d35b87bf51324080390b1b1c5ab12bd335cfe5f1a99e3689abd5e02ae6
litellm-1.107.0-cp310-abi3-musllinux_1_2_x86_64.whl1bbce8caa94f01c0aaa0b7ddae51553a8a32e1ce53d96d44fe583272aff7ad00
litellm-1.107.0-cp310-abi3-musllinux_1_2_aarch64.whlc2e32d0ce2548aa662c18bf5001911a79fe5b30cf8357132275add02fdcde054
litellm-1.107.0-cp310-abi3-macosx_10_12_x86_64.whl7598727f209d717041db37f7dca271d3a7d328a279890e0e1d55375729aeb86d
litellm-1.107.0-cp310-abi3-macosx_11_0_arm64.whl0aaf7ba346d41ef2f40390436738b001180d5a1c03aa093f121078a9969d9a1a
litellm-1.107.0-cp310-abi3-win_amd64.whl12d4ccc5c6f8d35cf4f2cf233b7f3e418e863e657d81ff5f5fc9e210005b9484

The planted files have different hashes on Windows because of the CRLF line endings:

FileLinux and macOSWindows
cook.pth7f191632e7320705d154b85204f1ae546b543acbd7e8861229b76f5042b92bdb84dc8c82c0a4a4a62552ef826b49fcc86d1a5c4a5d0f2c06665723f93d129d7d
cook.py9dd0a3926f96a37eb86cf1ee2310d9be93139cc4ebef3ef9e2efe9531390be2503ac2a8b752605d1d7710979c17ff18b03dd978203ba23ba97fd8ce3d6f897ea
sitecustomize.py34bef04fe88ac9d0aae0475630b1738681d15b94f233ac8aa46eacf5968305fab6122440d0d9cb1eb1ade9933f49214da8c31288de7710c076c2680dfa528465

Originally published on Hacker News (Best)

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