| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Python CPython up to 3.14.x and classified as problematic. This issue affects some unknown processing of the component Plistlib Module. This manipulation causes resource consumption. This vulnerability is handled as CVE-2025-13837. It is possible to launch the attack on the local host. There is not any exploit available. The affected component should be upgraded.
Details
A vulnerability has been found in Python CPython up to 3.14.x and classified as problematic. Affected by this vulnerability is an unknown part of the component Plistlib Module. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:
When loading a plist file, the plistlib module reads data in size specified by the file itself, meaning a malicious file can cause OOM and DoS issues
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-13837 since 12/01/2025. The exploitation appears to be easy. Attacking locally is a requirement. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 277038 (Linux Distros Unpatched Vulnerability : CVE-2025-13837), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 3.15.0 eliminates this vulnerability. Applying the patch 694922cf40aa3a28f898b5f5ee08b71b4922df70 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.
The vulnerability is also documented in the databases at Tenable (277038) and CERT Bund (WID-SEC-2025-2706). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Debian Linux
- Amazon Linux 2
- Red Hat Enterprise Linux
- Fedora Linux
- Ubuntu Linux
- SUSE Linux
- Oracle Linux
- SUSE openSUSE
- RESF Rocky Linux
- IBM App Connect Enterprise
- Open Source Python
- Microsoft Azure Linux
Product
Type
Vendor
Name
Version
License
Website
- Product: https://github.com/python/cpython/
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: 4.7VulDB Meta Temp Score: 4.6
VulDB Base Score: 4.0
VulDB Temp Score: 3.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔒
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 277038
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-13837
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: CPython 3.15.0
Patch: 694922cf40aa3a28f898b5f5ee08b71b4922df70
Timeline
12/01/2025 Advisory disclosed12/01/2025 CVE reserved
12/01/2025 VulDB entry created
03/19/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 119342
Status: Confirmed
CVE: CVE-2025-13837 (🔒)
GCVE (CVE): GCVE-0-2025-13837
GCVE (VulDB): GCVE-100-333931
CERT Bund: WID-SEC-2025-2706 - Python: Mehrere Schwachstellen ermöglichen Denial of Service
Entry
Created: 12/01/2025 23:31Updated: 03/19/2026 22:49
Changes: 12/01/2025 23:31 (71), 12/03/2025 07:09 (2), 12/24/2025 09:59 (7), 01/02/2026 02:42 (1), 01/06/2026 10:19 (1), 01/12/2026 13:43 (1), 01/15/2026 21:47 (12), 01/17/2026 17:26 (1), 01/28/2026 18:21 (1), 03/19/2026 22:49 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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