VAITP Dataset

Dataset Statistics
Search for CVE
#
CVE
Vulnerability
ODC
Category
Subcategory
Accessibility Scope
Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1787
1995
Dulwich allows a crafted thin pack to cause a memory-based Denial of Service.

Dulwich is a pure-Python implementation of the Git file formats and protocols. Starting in version 0.1.0 and prior to version 1.2.5, a client with push access could push a tiny crafted thin pack (~174 bytes) whose delta header declares a huge dest_size. When dulwich ingested it via add_thin_pack / apply_delta, it would allocate hundreds of MB of memory based on that attacker-controlled size, with no relationship to the actual bytes received. Operators running a Dulwich-based Git server that exposes git-receive-pack (i.e. accepts pushes) - for example via dulwich.server functionality, the HTTP smart server, or anything built on ReceivePackHandler - are impacted. The issue is patched in 1.2.5. add_thin_pack now accepts a max_input_size keyword (bytes; 0/None = unlimited, matching git's semantics), and ReceivePackHandler reads receive.maxInputSize from the repository config and passes it through. Wire reads are counted and a PackInputTooLarge exception is raised once the cap is exceeded - equivalent to git index-pack --max-input-size. Users should upgrade to Dulwich 1.2.5 or later and set receive.maxInputSize in their server's repository config to a sane bound for their environment. On unpatched versions, receive.maxInputSize has no effect, so it cannot be used as a workaround. Until upgrading, operators should restrict dulwich-receive-pack (push) access to trusted, authenticated clients only, or disable it entirely on servers that only need to serve fetches and/or run the server under an OS-level memory limit (e.g. ulimit, cgroups/MemoryMax, or a container memory limit) so a malicious push is killed rather than taking down the host.

Checking
Resource Management
Resource Exhaustion
Remote
1994
Dulwich path traversal via unsanitized commit subjects in format_patch.

Dulwich is a pure-Python implementation of the Git file formats and protocols. Starting in version 0.24.0 and prior to version 1.2.5, dulwich.porcelain.format_patch(outdir=...) derives each patch filename from the commit's subject line. Prior to this fix, get_summary only replaced spaces with dashes - path separators (/, \), parent-directory components (..), and other filename-hostile characters (e.g. :) were preserved verbatim and passed straight into os.path.join(outdir, f"{i:04d}-{summary}.patch"). A malicious commit subject could therefore direct the generated patch file outside the requested outdir. This is fixed in Dulwich 1.2.5. Users should upgrade to 1.2.5 or later. dulwich.patch.get_summary now mirrors git's format_sanitized_subject: only `[A-Za-z0-9._]` are kept, runs of other characters collapse to a single -, consecutive . collapse to a single ., trailing ./- are stripped, and the result is length-limited. This makes the returned string safe to embed as a filename component, so format_patch can no longer be steered out of outdir via the commit subject. Until upgrading, callers that pass untrusted commits to porcelain.format_patch can use stdout=True and write the patch to a destination they control, rather than letting format_patch choose the filename; validate the chosen path before opening - e.g. compare os.path.realpath(returned_path) against os.path.realpath(outdir) and reject any patch whose resolved path is not inside outdir; and/or pre-screen commits and refuse to format any whose subject's first line contains /, \, .., or other characters that are not safe on the target filesystem.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1993
A large SCRAM iteration count from a broker can freeze kafka-python clients.

kafka-python prior to 2.3.2 contains a denial-of-service vulnerability in SCRAM authentication handling that allows a malicious or machine-in-the-middle broker to freeze the client event loop by supplying an excessively large iteration count. In scram.py, ScramClient.process_server_first_message() passes the broker-controlled SCRAM iteration count directly to hashlib.pbkdf2_hmac() without validation, blocking producer sends, consumer polls, admin operations, and heartbeats, which can cause consumer group eviction and repeated reconnect failures.

Checking
Resource Management
Resource Exhaustion
Remote
1992
A crafted frame can cause a DoS in kafka-python via memory exhaustion.

kafka-python prior to 2.3.2 contains a denial-of-service vulnerability in the protocol parser that allows a malicious broker or machine-in-the-middle attacker to exhaust memory or hang connections by sending a crafted 4-byte frame length value without bounds validation. Attackers can send a specially crafted frame length through the receive_bytes() function to trigger either a multi-gigabyte memory allocation or an uncaught ValueError that leaves the connection in a broken state, causing requests to hang and consumers to stop heartbeating until restart.

Checking
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
1991
Slopsmith allows RCE via path traversal in PSARC/sloppak archive extraction.

Slopsmith is a self-contained web application for browsing, playing, and practicing Rocksmith 2014 Custom DLC (CDLC). Prior to 0.2.9-alpha.5, a path-traversal vulnerability in Slopsmith's archive extractors allows an attacker to write arbitrary files outside the extraction directory by supplying a crafted PSARC or sloppak archive. With the default Docker configuration (running as root) and the ability to drop a file into the plugin directory, this escalates to arbitrary remote code execution on the host. Three archive extractors concatenated archive-entry filenames directly onto the extraction root without validation: `lib/psarc.py::unpack_psarc` โ€” PSARC TOC filenames; `lib/patcher.py::unpack_psarc` โ€” duplicate of the above in the patcher flow; `lib/sloppak.py::_unpack_zip` โ€” bare `ZipFile.extractall()` with no member filter. Each accepts entry names containing `..` segments, absolute paths, or backslash separators. The Python `zipfile` module's default `extractall()` is documented as not preventing traversal when callers don't supply a member-filter callback. Version 0.2.9-alpha.5 patches the issue. Until updated, do not open PSARC or sloppak archives from untrusted sources, and do not expose the Slopsmith instance to the public internet. Docker users should also pull the latest image after the next slopsmith Docker image is published.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1990
Denial of Service in pypdf via crafted PDF with malformed xref streams.

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.0, an attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires cross-reference streams with /W [0 0 0] values and large /Size values. This vulnerability is fixed in 6.12.0.

Algorithm
Resource Management
Resource Exhaustion
Remote
1989
A crafted PDF with large XMP data can cause excessive memory usage.

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.1, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. This vulnerability is fixed in 6.12.1.

Checking
Resource Management
Resource Exhaustion
Remote
1988
pypdf: A crafted PDF can cause memory exhaustion via text extraction.

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.0, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting text in layout mode with large character offsets. This vulnerability is fixed in 6.12.0.

Algorithm
Resource Management
Resource Exhaustion
Remote
1987
Path traversal in Dulwich submodules allows RCE via a malicious repo.

Dulwich is a pure-Python implementation of the Git file formats and protocols. Starting in version 0.23.2 and prior to version 1.2.5, `dulwich.porcelain.submodule_update`, and by extension `porcelain.clone(..., recurse_submodules=True)`, materializes attacker-controlled submodule paths from a crafted upstream repository without path validation. A malicious `.gitmodules` plus a matching tree gitlink whose `path` is `.git/hooks` (or any other directory inside the parent repository's `.git` directory) causes the attacker's submodule tree contents to be written directly into the victim's `.git/hooks/` directory, preserving executable mode bits. The dropped executables are then run by any subsequent `git` or `dulwich` command that invokes the matching hook, resulting in arbitrary code execution. This is the dulwich equivalent of the upstream Git fixes for CVE-2024-32002 / CVE-2024-32004, which were never propagated into dulwich's separately implemented submodule porcelain. Version 1.2.5 patches the issue.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1986
mcp-pinot's insecure default allows full read/write access to Pinot.

mcp-pinot is a Python-based Model Context Protocol (MCP) server for interacting with Apache Pinot. In versions 3.0.1 and below, mcp-pinot defaults to running an HTTP MCP server bound to 0.0.0.0:8080 with no authentication enabled. All MCP tools, including SQL query execution, schema creation, and table-config mutation, are reachable by any network-adjacent caller. The server proxies these calls using server-side Pinot credentials, producing a confused-deputy condition that yields full read/write access to the configured Pinot cluster. This issue has been fixed in version 3.1.0

Checking
Authentication, Authorization, and Session Management
Server-Side Request Forgery (SSRF)
Remote
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.

The supreme art of war is to subdue the enemy without fighting.

Sun Tzu – “The Art of War”

:: Shaping the future through research and ingenuity ::