Improper input validation in Qpdf Project

CVE-2017-12595

The tokenizer in QPDF 6.0.0 and 7.0.b1 is recursive for arrays and dictionaries, which allows remote attackers to cause a denial of service (stack consumption and segmentation fault) or possibly have unspecified other impact via a PDF document with a deep data structure, as demonstrated by a crash in QPDFObjectHandle::parseInternal in libqpdf/QPDFObjectHandle.cc.

Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)

Published · last modified .

CVSS v3 metric

CVSS v3 base score 7.8 (High). Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.

EPSS exploit prediction

EPSS: 0.018 (77.7th percentile), scored .

Low probability of exploitation in the next 30 days, but still tracked. 78th percentile — 77.7% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2017-12595: held from 0.018 to 0.018.

EPSS over last 30 days · oldest: 0.018 · newest: 0.018 · change: 0.000

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2017-12595?
CVE-2017-12595 is a high-severity vulnerability in Qpdf Project, classified under Improper Input Validation. CVSS score: 7.8/10. Published 2017-08-27.
How severe is CVE-2017-12595?
High severity. CVSS v3 base score is 7.8 out of 10.
Is CVE-2017-12595 known to be exploited?
1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.