GHSA-6w46-j5rx-g56g · Severity: medium · Ecosystem: pip — pytest has vulnerable tmpdir handling
pytest through 9.0.2 on UNIX relies on directories with the /tmp/pytest-of-{user} name pattern, which allows local users to cause a denial of service or possibly gain privileges.
Conclusion & alert: CVE-2025-71176 is rated Low Risk (28.6/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.14%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.00% | 0.14% | +0.14% |
| 2 | 2026-01-22 | — | 0.00% | — |
Full EPSS history (2 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 6.8 | 3.1 | MEDIUM |
|
2.5 | 3.7 | [email protected] |
GHSA-6w46-j5rx-g56g · Severity: medium · Ecosystem: pip — pytest has vulnerable tmpdir handling
| vendor | priority | summary | link |
|---|---|---|---|
debian
|
unimportant | CVE-2025-71176 unimportant priority: Debian including 1 source packages (pytest), 5 status rows across 5 suites (bookworm, bullseye, forky, sid, trixie): open 5. | https://security-tracker.debian.org/tracker/CVE-2025-71176 |
redhat
|
medium | — | https://access.redhat.com/security/cve/CVE-2025-71176 |
suse
|
medium | — | https://www.suse.com/security/cve/CVE-2025-71176/ |
ubuntu
|
medium | CVE-2025-71176 medium priority: Ubuntu including 1 source packages (pytest), 7 status rows across 7 suites (bionic, focal, jammy, noble, questing, upstream, xenial): needs-triage 7. | https://ubuntu.com/security/CVE-2025-71176 |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||