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GHSA-g9cg-prrw-2r8q CVE-2026-102996 PYSEC-2026-4155

pypdf: Possible large memory usage when parsing font data

High PyPI
Severity
0.0 / 10
High · CVSS 4.0
Exploit chance (EPSS)
0.34%
Chance of exploitation in the next 30 days. Higher than 27.57% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
6.18.1
Upgrade pypdf to this version or later

Description

Impact

An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the /Widths entry of a TrueType or Type1 fonts with unusually large values, for example during text extraction.

Patches

This has been fixed in pypdf==6.18.1.

Workarounds

If you cannot upgrade yet, consider applying the changes from PR #4072.

Affected versions

PyPI

PackageVulnerableFixed in
pypdf
< 6.18.1
6.18.1

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

pypdf PyPI → 6.18.1

pip
pip install --upgrade "pypdf>=6.18.1"
poetry
poetry add "pypdf>=6.18.1"
uv
uv add "pypdf>=6.18.1"

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Attack vector
Network
Attack complexity
Low
Attack requirements
None
Privileges required
None
User interaction
None
Confidentiality (vulnerable system)
None
Integrity (vulnerable system)
None
Availability (vulnerable system)
High
Confidentiality (subsequent systems)
None
Integrity (subsequent systems)
None
Availability (subsequent systems)
None

CVSS 3.1 7.5

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-5849-834g-hvw5
pypdf has possible infinite loop when hitting EOF in standard xref table during trailer search
High Also affects pypdf
GHSA-cggf-277g-3q54
pypdf has possible large memory usage when parsing page tree
High Also affects pypdf
GHSA-mfr5-77xh-9j7h
pypdf has possible infinite loop when cloning dictionaries
High Also affects pypdf
GHSA-42gh-23hr-vphw
pypdf has possible long runtimes when retrieving page labels
High Also affects pypdf
GHSA-4vqv-7265-gm2w
pypdf has possible large memory usage for exceptions in strict mode
High Also affects pypdf
GHSA-62m5-6wh8-28x7
pypdf has possible long runtimes/large memory usage for encrypted PDF files
High Also affects pypdf
GHSA-x3rh-gjgm-fmqc
pypdf has possible large memory usage when parsing cross-reference streams
High Also affects pypdf
GHSA-jr96-gvgh-j3r4
pypdf: Possible long runtimes for repeated malformed cross-reference entries (Follow-up)
High Also affects pypdf
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