When folding a long comment in an email header containing exclusively unfoldable characters, the parenthesis would not be preserved. This could be used for injecting headers into email messages where addresses are user-controlled and not sanitized.
Conclusion & alert: CVE-2025-11468 is rated Low Risk (25.4/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.03%). 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 | 2026-02-18 | 0.05% | 0.03% | -0.02% |
| 2 | 2026-01-26 | 0.04% | 0.05% | +0.01% |
| 3 | 2026-01-21 | — | 0.04% | — |
Full EPSS history (3 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 5.7 | 4.0 | MEDIUM |
|
— | — | [email protected] |
| vendor | priority | summary | link |
|---|---|---|---|
debian
|
unimportant | CVE-2025-11468 unimportant priority: Debian including 7 source packages (jython, pypy3, …), 18 status rows across 5 suites (bookworm, bullseye, forky, sid, trixie): resolved 15, open 3. | https://security-tracker.debian.org/tracker/CVE-2025-11468 |
redhat
|
medium | — | https://access.redhat.com/security/cve/CVE-2025-11468 |
suse
|
high | — | https://www.suse.com/security/cve/CVE-2025-11468/ |
ubuntu
|
medium | CVE-2025-11468 medium priority: Ubuntu including 12 source packages (python2.7, python3.10, …), 60 status rows across 8 suites (bionic, focal, jammy, noble, questing, trusty, upstream, xenial): DNE 30, needs-triage 11, released 10, not-affected 9. | https://ubuntu.com/security/CVE-2025-11468 |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||