Cyber Resilience

CVE-2026-4519

Python ≤ 3.13.13

Published
20 March 2026
Modified
15 July 2026
Patch / advisory
CVSS Score v4 7.0
Click a component to see what it means
Raw vectorCVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:A/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0031 23th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-4519 is a high-severity Improper Input Validation (CWE-20) vulnerability in Python Python. Its CVSS base score is 7.0 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Python (T1059.006); ranked at the 23th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-2 (Flaw Remediation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

The webbrowser.open() API would accept leading dashes in the URL which could be handled as command line options for certain web browsers. New behavior rejects leading dashes. Users are recommended to sanitize URLs prior to passing to webbrowser.open().

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1059.006 Python Execution
Adversaries may abuse Python commands and scripts for execution.
Why these techniques?

Leading dash URL input validation flaw enables argument/command injection when attacker-controlled data reaches webbrowser.open(), directly facilitating Python-based command execution.

Confidence: MEDIUM · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2026-3644Same product: Python Python
CVE-2025-13462Same product: Python Python
CVE-2023-33595Same product: Python Python
CVE-2026-4224Same product: Python Python
CVE-2025-6075Same product: Python Python
CVE-2025-13837Same product: Python Python
CVE-2026-6019Same product: Python Python
CVE-2026-4360Same product: Python Python
CVE-2026-7210Same product: Python Python
CVE-2025-12084Same product: Python Python

Affected Assets

python
python
3.15.0 · ≤ 3.13.13 · 3.14.0 — 3.14.4

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SI-2 Flaw Remediation
  • SI-7 Software, Firmware, and Information Integrity
Detect
Catch it (NIST detect / respond)
  • SI-7 Software, Firmware, and Information Integrity
Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V1.2.5

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly enforces validation of URL inputs to reject leading dashes that would be interpreted as command-line options by webbrowser.open().

prevent

Requires prompt application of the library update that changes webbrowser.open() to reject leading dashes, eliminating the argument-injection flaw.

preventdetect

Verifies integrity of Python code and libraries to ensure the fixed webbrowser implementation (rejecting malicious URLs) is the one executed.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require and enforce input validation during development.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

none

Change management can catch unsafe command patterns during reviews but is not a direct mitigation.

References