py-pdf pypdf2 up to 1.27.8 algorithmic complexity

CVSS Meta Temp Score
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in py-pdf pypdf2 up to 1.27.8. The affected element is an unknown function. This manipulation causes algorithmic complexity. This vulnerability is tracked as CVE-2023-36810. The attack is restricted to local execution. No exploit exists. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in py-pdf pypdf2 up to 1.27.8. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a algorithmic complexity vulnerability. The CWE definition for the vulnerability is CWE-407. An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached. As an impact it is known to affect availability. The summary by CVE is:

pypdf is a pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. An attacker who uses this vulnerability can craft a PDF which leads to unexpected long runtime. This quadratic runtime blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. This issue has been addressed in PR 808 and versions from 1.27.9 include this fix. Users are advised to upgrade. There are no known workarounds for this vulnerability.

The weakness was disclosed 07/01/2023 as 582. The advisory is shared at github.com. This vulnerability is known as CVE-2023-36810 since 06/27/2023. Neither technical details nor an exploit are publicly available.

Upgrading to version 1.27.9 eliminates this vulnerability. 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.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.3

VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CNA Base Score: 6.2
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Algorithmic complexity
CWE: CWE-407 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: pypdf2 1.27.9
Patch: github.com

Timelineinfo

06/27/2023 🔍
07/01/2023 +4 days 🔍
07/01/2023 +0 days 🔍
07/22/2023 +21 days 🔍

Sourcesinfo

Advisory: 582
Status: Confirmed

CVE: CVE-2023-36810 (🔍)
GCVE (CVE): GCVE-0-2023-36810
GCVE (VulDB): GCVE-100-232777

Entryinfo

Created: 07/01/2023 08:04
Updated: 07/22/2023 09:50
Changes: 07/01/2023 08:04 (51), 07/01/2023 09:52 (1), 07/22/2023 09:50 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Discussion

 MartinThoma (+0)
3 years ago
The text is wrong. Please check the advisory at Github. It was not discovered in pypdf, but in PyPDF2. Those are two different projects.
 VulDB Community Team3 years ago
Thank you. Unfortunately, the whole CVE entry does only mention pypdf even though it was created by GitHub M as well.

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