py-pdf pypdf up to 6.12.x Textlayout Mode infinite loop
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.2 | $0-$5k | 0.82 |
Summary
A vulnerability has been found in py-pdf pypdf up to 6.12.x and classified as problematic. Impacted is an unknown function of the component Textlayout Mode. Performing a manipulation results in infinite loop. This vulnerability is known as CVE-2026-54530. Attacking locally is a requirement. No exploit is available. The affected component should be upgraded.
Details
A vulnerability was found in py-pdf pypdf up to 6.12.x. It has been classified as problematic. This affects an unknown part of the component Textlayout Mode. The manipulation with an unknown input leads to a infinite loop vulnerability. CWE is classifying the issue as CWE-835. The product contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop. This is going to have an impact on availability. The summary by CVE is:
pypdf is a free and open-source pure-python PDF library. Prior to 6.13.0, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires extracting the text in layout mode. This vulnerability is fixed in 6.13.0.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-54530 since 06/15/2026. The exploitability is told to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 6.13.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
- Product: https://github.com/py-pdf/pypdf/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 3.3VulDB Meta Temp Score: 3.2
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Infinite loopCWE: CWE-835 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pypdf 6.13.0
Patch: github.com
Timeline
06/15/2026 CVE reserved06/23/2026 Advisory disclosed
06/23/2026 VulDB entry created
06/23/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-52x6-gq3r-vpf4
Status: Confirmed
CVE: CVE-2026-54530 (🔒)
GCVE (CVE): GCVE-0-2026-54530
GCVE (VulDB): GCVE-100-372795
Entry
Created: 06/23/2026 07:01Updated: 06/23/2026 18:41
Changes: 06/23/2026 07:01 (70), 06/23/2026 18:41 (5)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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