EM-20261030-EKIJ
VulnerabilityHigh severity
pypdf Vulnerability (CVE-2026-119209)
CVE-2026-119209
Status
Developing
Since : signals keep joining.
- First Signal
- Oct 29 21:17 UTCC6 NVD CVE API 2.0
- Page Born
- Oct 30 23:07 UTCsecond source joined
- Last Signal
- Oct 30 23:07 UTC5 days before snapshot
- Sources
- 20 official · 2 research, news or crowd
- Open For
- 6 daysso far
Life Of This Page
- 1BornA second, independent source names it.
- 2Developing · NowNew signals join; severity can move.
- 3ConfirmedNot yetCISA KEV lists it, or exploitation in the wild is reported.
- 4ResolvedNot yetPast the fix deadline and 14 days with no new signal.
- 5ArchivedNot yet30 days after resolved. Read only; the link keeps working. Reopens if it comes back.
The ID never changes, and earlier addresses keep working. A correction is logged, never overwritten. If two pages turn out to be one incident, the later one points to the earlier.
Vulnerability Lifecycle
- Disclosed: reachedOct 29 21:17 UTCC6 NVD published
- Scored: reachedOct 29 21:17 UTCCVSS 7.1 · EPSS 0.3%
- Exploited: not yetNot yetNo exploitation reported
- Advisories: not yetNot yetNone yet
- Vendor Response: not yetNot yetNone in sources yet
- Resolved: not yetNot yetAfter 14 quiet days
Timeline
Point at a mark to read it. Squares are signals, colored by severity; every one is also listed under Signals.
Signals
- GHSA-x3rh-gjgm-fmqc / CVE-2026-119209: pypdf has possible large memory usage when parsing cross-reference streams (opens source in a new tab) pip:pypdf High severityDatabaseC26 GitHub Advisory Database
- CVE-2026-119209 (CVSS 7.1) (opens source in a new tab) pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly com… High severityDatabaseC6 NVD CVE API 2.0