Vulnerabilities in pkg:pypi/pyanyapi

PACKAGE
Advisory Identifier: GHSA-vg8g-jpm9-jh8r
Share
Advisory Summary

CVE-2017-16616 is a CRITICAL (CVSS 9.8) unsafe pyyaml load usage vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Pyanyapi libraries in the PyPI ecosystem. The issue involves unsafe pyyaml load usage in pyanyapi. Remediation is available by upgrading affected packages to version 0.6.1.

1 Known Advisory Record(s)
Package Vulnerability Intelligence

pkg:pypi/pyanyapi

1 Known Advisory Record(s)

Vulnerability advisories affecting package pkg:pypi/pyanyapi. Select an advisory below to view technical details or fixes.

Advisory ID CVE / NVD Severity Summary
GHSA-vg8g-jpm9-jh8r CVE-2017-16616 CRITICAL Unsafe pyyaml load usage in PyAnyAPI

CVE-2017-16616 at a Glance

CVE Identifier CVE-2017-16616
GHSA Identifier GHSA-vg8g-jpm9-jh8r
Severity CRITICAL
CVSS v3.1 Base Score 9.8
CWE Classification CWE-502: Deserialization of Untrusted Data
Affected Product Pyanyapi
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 9.8

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (A:H)

How to Fix CVE-2017-16616

To remediate this vulnerability, upgrade all affected Pyanyapi dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

pyanyapi fixed: 0.6.1 
pip install pyanyapi>=0.6.1
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show pyanyapi

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2017-16616, inspect your installed packages using pip:

pip show pyanyapi

Analyze the terminal output to locate any version of Pyanyapi in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.6.1), your application is affected.

Note: The pip show pyanyapi command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Pyanyapi, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

An exploitable vulnerability exists in the YAML parsing functionality in the YAMLParser method in Interfaces.py in PyAnyAPI before 0.6.1. A YAML parser can execute arbitrary Python commands resulting in command execution because `load` is used where `safe_load` should have been used. An attacker can insert Python into loaded YAML to trigger this vulnerability.

CVE-2017-16616 Affected Pyanyapi Versions

1 component(s)
Fixed Versions:
0.6.1
Product / Package Ecosystem Affected Versions Fixed Version
pyanyapi
pypi/pyanyapi
PyPI
< 0.6.1
0.6.1

References

NVD — CVE-2017-16616 NVD
https://nvd.nist.gov/vuln/detail/CVE-2017-16616
Pyanyapi Source Repository REPOSITORY
https://github.com/Stranger6667/pyanyapi/issues/41
Security Fix Commit FIX COMMIT
https://github.com/Stranger6667/pyanyapi/commit/810db626c18ebc261d5f4299d0f0eac38d5eb3cf
Pyanyapi Source Repository REPOSITORY
https://github.com/Stranger6667/pyanyapi
Pyanyapi Release RELEASE
https://github.com/Stranger6667/pyanyapi/releases/tag/0.6.1
GitHub Advisory / Wiki ADVISORY
https://github.com/advisories/GHSA-vg8g-jpm9-jh8r
Pyanyapi Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/pyanyapi/PYSEC-2017-23.yaml
joel-malwarebenchmark.github.io/blog/2017/11/08/cve... WEB
https://joel-malwarebenchmark.github.io/blog/2017/11/08/cve-2017-16616-yamlparser-in-pyanyapi
pypi.python.org/pypi/pyanyapi/0.6.1 WEB
https://pypi.python.org/pypi/pyanyapi/0.6.1

Frequently Asked Questions

What is CVE-2017-16616?
CVE-2017-16616 is a security vulnerability in Pyanyapi involving Unsafe pyyaml load usage in PyAnyAPI under CWE-502: Deserialization of Untrusted Data.
Which Pyanyapi versions are affected?
Affected versions include releases prior to 0.6.1 across affected packages: pyanyapi.
What version fixes CVE-2017-16616?
Upgrading to 0.6.1 (or the latest patched release for your respective branch) resolves the vulnerability.
Is pyanyapi affected?
Yes, pyanyapi is affected in releases prior to 0.6.1. Upgrade your dependency to 0.6.1 or later.
What is the CVSS score of CVE-2017-16616?
CVE-2017-16616 has a CVSS v3.1 base score of 9.8 (CRITICAL) with vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2017-16616?
CVE-2017-16616 is classified under CWE-502: Deserialization of Untrusted Data (The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.).
How can I check PyPI dependencies for CVE-2017-16616?
Run the dependency tree command: 'pip show pyanyapi'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-vg8g-jpm9-jh8r",
  "modified" : "2024-10-21T20:51:43Z",
  "published" : "2022-05-13T01:44:08Z",
  "aliases" : [ "CVE-2017-16616" ],
  "summary" : "Unsafe pyyaml load usage in PyAnyAPI",
  "details" : "An exploitable vulnerability exists in the YAML parsing functionality in the YAMLParser method in Interfaces.py in PyAnyAPI before 0.6.1. A YAML parser can execute arbitrary Python commands resulting in command execution because `load` is used where `safe_load` should have been used. An attacker can insert Python into loaded YAML to trigger this vulnerability.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "pyanyapi"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "0.6.1"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2017-16616"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/Stranger6667/pyanyapi/issues/41"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/Stranger6667/pyanyapi/commit/810db626c18ebc261d5f4299d0f0eac38d5eb3cf"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/Stranger6667/pyanyapi"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/Stranger6667/pyanyapi/releases/tag/0.6.1"
  }, {
    "type" : "ADVISORY",
    "url" : "https://github.com/advisories/GHSA-vg8g-jpm9-jh8r"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/pyanyapi/PYSEC-2017-23.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://joel-malwarebenchmark.github.io/blog/2017/11/08/cve-2017-16616-yamlparser-in-pyanyapi"
  }, {
    "type" : "WEB",
    "url" : "https://pypi.python.org/pypi/pyanyapi/0.6.1"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-502" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2022-05-26T18:45:59Z",
    "nvd_published_at" : "2017-11-08T03:29:00Z"
  }
}