VAITP Dataset

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Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1611
1853
CVE-2026-31250
Insecure deserialization in CosyVoice's model averaging tool allows RCE.

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its average_model.py model averaging tool. The script loads PyTorch checkpoint files (epoch_*.pt) for model averaging using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious checkpoint files within a directory. When a victim uses the tool to average models from this directory, arbitrary code is executed on the victim's system.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Local
1852
CVE-2026-31249
CosyVoice: RCE in data tool via malicious .pt files from deserialization.

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its make_parquet_list.py data processing tool. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious .pt files within a data directory. When a victim processes this directory using the tool, arbitrary code is executed on the victim's system.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Local
1851
CVE-2026-7818
Unsafe deserialization of session data in pgAdmin 4 allows for RCE.

Deserialization of untrusted data (CWE-502) in pgAdmin 4 FileBackedSessionManager. The session manager performed unsafe deserialization of session-file contents (using Python's standard object-serialization module) before performing any HMAC integrity check. Any file dropped into the sessions directory was deserialized unconditionally. An authenticated user with write access to the sessions directory (whether by misconfiguration or in combination with another path-traversal flaw) could plant a crafted serialized payload to achieve operating-system level remote code execution under the pgAdmin process identity. Fix prepends a 64-byte hex SHA-256 HMAC over the session body, computed with SECRET_KEY, and verifies it via hmac.compare_digest before any deserialization. The check is raised (rather than asserted) on empty SECRET_KEY so it is not stripped under -O. This issue affects pgAdmin 4: before 9.15.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Local
1849
CVE-2026-42310
Pillow: A malicious PDF can cause an indefinite hang with 100% CPU usage.

Pillow is a Python imaging library. From version 4.2.0 to before version 12.2.0, an attacker can supply a malicious PDF that causes the process to hang indefinitely, consuming 100% CPU and making the application unresponsive. This issue has been patched in version 12.2.0.

Algorithm
Resource Management
Resource Exhaustion
Remote
1846
CVE-2026-42301
pyp2spec: Command injection via unescaped macros in PyPI package metadata.

pyp2spec generates working Fedora RPM spec file for Python projects. Prior to version 0.14.1, pyp2spec was writing PyPI package metadata (e.g. the summary field) into the generated spec file without escaping RPM macro directives. When a packager then runs rpmbuild, those directives get evaluated, so a malicious package can execute arbitrary commands on the build machine. This issue has been patched in version 0.14.1.

Checking
Input Validation and Sanitization
Command Injection
Remote
1845
CVE-2026-42352
pygeoapi SSRF vulnerability allows requests to internal HTTP services.

pygeoapi is a Python server implementation of the OGC API suite of standards. From version 0.23.0 to before version 0.23.3, OGC API process execution requests can use the subscriber object to requests to internal HTTP services. This issue has been patched in version 0.23.3.

Checking
Input Validation and Sanitization
Server-Side Request Forgery (SSRF)
Remote
1844
CVE-2026-42351
pygeoapi STAC path traversal allows unauthenticated directory exposure.

pygeoapi is a Python server implementation of the OGC API suite of standards. From version 0.23.0 to before version 0.23.3, a raw string path concatenation vulnerability in pygeoapi's STAC FileSystemProvider plugin can allow for requests to STAC collection based collections to expose directories without authentication. The issue manifests when pygeoapi is deployed without a proxy or web front end that would normalize URLs with .. values, along with a resource of type stac-collection defined in configuration. This issue has been patched in version 0.23.3.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1843
CVE-2026-44336
Path traversal in PraisonAI's MCP server allows file write and code execution.

PraisonAI is a multi-agent teams system. Prior to version 4.6.34, PraisonAI's MCP (Model Context Protocol) server (praisonai mcp serve) registers four file-handling tools by default โ€” praisonai.rules.create, praisonai.rules.show, praisonai.rules.delete, and praisonai.workflow.show. Each accepts a path or filename string from MCP tools/call arguments and joins it onto ~/.praison/rules/ (or, for workflow.show, accepts an absolute path) with no containment check. The JSON-RPC dispatcher passes params["arguments"] blind to each handler via **kwargs without validating against the advertised input schema. By setting rule_name="../../<some-path>" an attacker walks out of the rules directory and writes any file the running user can write. Dropping a Python .pth file into the user site-packages directory escalates this primitive to arbitrary code execution in any subsequent Python process the user spawns โ€” the next praisonai CLI invocation, an IDE script run, the user's python REPL, or any background Python service. This issue has been patched in version 4.6.34.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1842
CVE-2026-41497
PraisonAI allows arbitrary command execution via its MCP command handler.

PraisonAI is a multi-agent teams system. Prior to version 4.6.9, the fix for PraisonAI's MCP command handling does not add a command allowlist or argument validation to parse_mcp_command(), allowing arbitrary executables like bash, python, or /bin/sh with inline code execution flags to pass through to subprocess execution. This issue has been patched in version 4.6.9.

Checking
Input Validation and Sanitization
Command Injection
Remote
1841
CVE-2026-44244
GitPython config injection allows RCE via a malicious `core.hooksPath`.

GitPython is a python library used to interact with Git repositories. Prior to version 3.1.49, GitConfigParser.set_value() passes values to Python's configparser without validating for newlines. GitPython's own _write() converts embedded newlines into indented continuation lines (e.g. \n becomes \n\t), but Git still accepts an indented [core] stanza as a section header โ€” so the injected core.hooksPath becomes effective configuration. Any Git operation that invokes hooks (commit, merge, checkout) will then execute scripts from the attacker-controlled path. This issue has been patched in version 3.1.49.

Checking
Input Validation and Sanitization
Command Injection
Local
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.

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