Security Risk Category
Python Security Risks — Page 2
Published vulnerability pages connected to Python. Each page keeps one canonical URL and focused remediation guidance.
59 published Python risks
Python risks
Showing 37–59 of 59 published risks.
CVE-2026-8147 in MLflow
In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.
Updated Jul 14, 2026
CVE-2026-14534 fickling vulnerability
Trail of Bits fickling versions up to and including 0.1.10 do not include the Python standard library modules _posixsubprocess, site, and atexit in the UNSAFE_IMPORTS denylist (fickle.py). Because these modules are absent from the denylist, fickling's check_safety() function returns LIKELY_SAFE with zero findings for pickle payloads that invoke dangerous functions including _posixsubprocess.fork_exec (C-level process spawner capable of executing arbitrary binaries), site.execsitecustomize (executes arbitrary site customization code), and atexit._run_exitfuncs (triggers all registered exit handler callbacks). The fickling.load() API chains check_safety() into pickle.loads() as an explicit security gate; a LIKELY_SAFE verdict causes the payload to be deserialized and executed. This shares the same root cause as CVE-2026-22607 (cProfile), CVE-2025-67748 (pty), and CVE-2025-67747 (marshal/types). OvertlyBadEvals does not flag these modules because they are standard library imports. UnsafeImports does not flag them because they are not in the denylist. The UnusedVariables heuristic is defeated by the SETITEMS opcode pattern.
Updated Jul 13, 2026
CVE-2026-54059 pillow vulnerability
Pillow is a Python imaging library. Prior to 12.3.0, PIL/PcfFontFile.py _load_bitmaps() read glyph dimensions from the PCF METRICS section and passed them directly to Image.frombytes() without calling Image._decompression_bomb_check(), allowing crafted PCF font data to cause excessive memory allocation. This issue is fixed in version 12.3.0.
Updated Jul 13, 2026
CVE-2026-54060 pillow vulnerability
Pillow is a Python imaging library. Prior to 12.3.0, PIL/FontFile.py FontFile.compile() assembled per-glyph images into a combined bitmap with Image.new("1", (xsize, ysize)) without calling Image._decompression_bomb_check(), allowing a font to trigger excessive allocation during conversion or saving. This issue is fixed in version 12.3.0.
Updated Jul 13, 2026
CVE-2026-55379 pillow vulnerability
Pillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow's documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.
Updated Jul 13, 2026
CVE-2026-55380 pillow vulnerability
Pillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.
Updated Jul 13, 2026
CVE-2026-55798 pillow vulnerability
Pillow is a Python imaging library. Prior to 12.3.0, WindowsViewer.get_command() constructed a cmd.exe shell command by directly embedding a file path into an f-string without escaping and passed the result to subprocess.Popen(..., shell=True), allowing shell metacharacters in the file path to inject arbitrary cmd.exe commands. This issue is fixed in version 12.3.0.
Updated Jul 13, 2026
CVE-2026-59216 open webui vulnerability
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. Prior to 0.10.0, get_event_call delivered execute:python and execute:tool Socket.IO events to a client-supplied session_id after checking only that the session was connected, allowing authenticated users who learned another socket ID through ydoc:document:join to run code interpreter Python or tools in that user session. This issue is fixed in version 0.10.0.
Updated Jul 13, 2026
CVE-2026-54695 pipecat vulnerability
Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Prior to 1.4.0, the pipecat development runner registers a /ws WebSocket endpoint for telephony testing that accepts connections without authentication, reads an attacker-supplied callSid from a Twilio stream-start handshake in src/pipecat/runner/utils.py, and passes it to TwilioFrameSerializer so the server can issue an authenticated Twilio REST API hang-up request with the server operator's credentials; equivalent unauthenticated call-control sinks exist for Telnyx and Plivo. This issue is fixed in version 1.4.0.
Updated Jul 13, 2026
CVE-2026-15308 Python vulnerability
The incremental HTML parser (html.parser.HTMLParser) allows for CPU denial-of-service through repeated unterminated markup declarations when processing uncontrolled data.
Updated Jul 12, 2026
CVE-2026-59214 Open WebUI vulnerability
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. Prior to 0.10.0, Open WebUI runs client-side Python with Pyodide in a same-origin web worker, allowing stored chat payloads that use pyodide.http.pyfetch or the js module fetch and XMLHttpRequest APIs to issue authenticated same-origin requests when a victim clicks Run, which can reach admin-only endpoints and execute server-side code through configured tools. This issue is fixed in version 0.10.0.
Updated Jul 12, 2026
CVE-2026-33264 Apache Airflow vulnerability
A bug in `BaseSerialization.deserialize()` allowed unrestricted `import_string()` of attacker-controlled class paths when the Scheduler / API Server loaded a serialized DAG: a DAG author could embed a malicious trigger into a DAG to gain remote code execution on the API Server / Scheduler process, crossing the Airflow security boundary that DAG-author code must never execute in those processes. Users are advised to upgrade to `apache-airflow` 3.3.0 or later. As a defense-in-depth mitigation, deployments where DAG-author trust is limited can restrict the `[core] allowed_deserialization_classes` config to a narrow allowlist.
Updated Jul 12, 2026
CVE-2026-48828 Apache Airflow vulnerability
The Bulk Variables API in Apache Airflow called the redactor without passing the variable's key, so the key-based `should_hide_value_for_key` check (which triggers on secret-suffixed key names like `*_password` / `*_token` / `*_secret`) could not fire for JSON-decodable variable values. An authenticated UI/API user with bulk Variable read permission could retrieve plaintext values from JSON variables whose key would otherwise trigger redaction. Affects deployments that store sensitive values in JSON-typed Airflow Variables under secret-suffixed key names. Users are advised to upgrade to `apache-airflow` 3.3.0 or later (the fix landed on `main` after 3.2.2; no 3.2.x backport).
Updated Jul 12, 2026
CVE-2026-48891 Apache Airflow vulnerability
A bug in Apache Airflow's `/ui/dependencies` scheduling graph endpoint applied the caller's readable-Dag filter to the top-level serialized Dag key but still emitted referenced Dag IDs through the `dep.source` and `dep.target` fields of trigger / sensor dependency entries. An authenticated UI user with read permission on some Dags could enumerate the identifiers of other Dags they were not authorized to read by inspecting the dependency graph for trigger / sensor references. Affects deployments that rely on per-Dag read scoping to keep Dag identifiers private across teams. This is a residual gap in the fix for CVE-2026-28563, which filtered the top-level Dag key but did not propagate the filter into the trigger / sensor dep-source / dep-target fields. Users who already upgraded for CVE-2026-28563 should additionally upgrade to `apache-airflow` 3.3.0 or later to cover the residual trigger / sensor dependency leak.
Updated Jul 12, 2026
CVE-2026-48892 Apache Airflow vulnerability
The Config API in Apache Airflow surfaced per-key secrets-backend overrides (environment variables like `AIRFLOW__SECRETS__BACKEND_KWARG__SECRET_ID` and `AIRFLOW__WORKERS__SECRETS_BACKEND_KWARG__SECRET_ID`) as synthetic config options whose option names were not in `sensitive_config_values`, so the masker did not redact them. An authenticated UI/API user with Config read permission could retrieve plaintext secrets-backend credentials (Vault `role_id` / `secret_id`, etc.) from the Config API output. Affects deployments that configure secrets backends via per-key environment overrides. Users are advised to upgrade to `apache-airflow` 3.3.0 or later.
Updated Jul 12, 2026
CVE-2026-49296 Apache Airflow vulnerability
Before apache-airflow 3.3.0, a user authorized to read one Dag could disclose the source of other Dags co-located in the same source file. `GET /api/v2/dagSources/{dag_id}` — and the equivalent Dag-source view in the UI — returned the entire source file without redacting Dags the caller was not authorized to read, bypassing per-DAG read authorization. Deployments that co-locate multiple Dags in a single file and rely on per-DAG access control to limit source visibility are affected; single-Dag-per-file deployments are not. Upgrade to apache-airflow 3.3.0 or later.
Updated Jul 12, 2026
CVE-2026-49487 Apache Airflow vulnerability
In Apache Airflow before 3.3.0, the REST API task-instance detail and list endpoints returned a deferred task's trigger kwargs without masking. When a deferred operator passed a secret (for example a provider API key) into its trigger, any authenticated user with DAG-scoped task-instance read access for that DAG could read that secret in clear text while the task was deferred. Users should upgrade to apache-airflow 3.3.0 or later, which masks sensitive values in trigger kwargs returned by the API.
Updated Jul 12, 2026
CVE-2026-48588 Django vulnerability
An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. `UpdateCacheMiddleware` and the `cache_page()` decorator cache responses that vary on cookies when the incoming request carries unrelated cookies, which allows remote attackers to read private data from the shared cache. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Chris Whyland for reporting this issue.
Updated Jul 12, 2026
CVE-2026-53877 Django vulnerability
An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. `django.contrib.gis.gdal.GDALRaster` over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the `vsi_buffer` property is accessed. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Bence Nagy for reporting this issue.
Updated Jul 12, 2026
CVE-2026-53878 Django vulnerability
An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. `DomainNameValidator` does not prohibit newlines in domain names (unless used via a form field, since `CharField` strips newlines). If an application uses values with newlines in an HTTP response, header injection can occur. Django itself is unaffected because `HttpResponse` prohibits newlines in HTTP headers. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Bence Nagy for reporting this issue.
Updated Jul 12, 2026
Stanza Model Loader Unsafe Pickle Deserialization RCE Vulnerability
Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. Prior to 1.12.2, Stanza model loaders such as stanza.models.common.pretrain.Pretrain.load() attempt torch.load(..., weights_only=True) but fall back to torch.load(..., weights_only=False) on attacker-controllable pickle.UnpicklingError, allowing a malicious .pt pretrain or model file to execute arbitrary pickle code when a Stanza NLP pipeline loads it. This issue is fixed in version 1.12.2.
Updated Jul 10, 2026
mcp-text-editor Path Traversal Vulnerability
A security vulnerability has been detected in tumf mcp-text-editor up to 1.0.2. This issue affects the function _validate_file_path of the file mcp_text_editor/text_editor.py. Such manipulation of the argument file_path leads to path traversal. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. The vendor closed the GitHub issue for this vulnerability without any explanation.
Updated Jul 10, 2026
django-job-portal Employee Profile Access Control Vulnerability
A weakness has been identified in manjurulhoque django-job-portal up to dfa352f305bba44445ac5dc12e9b2a98c9dcd71f. Affected by this vulnerability is the function EditEmployeeProfileAPIView of the file accounts/api/views.py of the component Employee Dashboard Endpoint. This manipulation of the argument role causes improper access controls. The attack may be initiated remotely. The exploit has been made available to the public and could be used for attacks. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The project was informed of the problem early through an issue report but has not responded yet.
Updated Jul 9, 2026