py-pdf pypdf up to 2.10.5 _data_structures.py read_object infinite loop

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

Summaryinfo

A vulnerability described as problematic has been identified in py-pdf pypdf up to 2.10.5. Impacted is the function read_object of the file PyPDF2/generic/_data_structures.py. The manipulation results in infinite loop. This vulnerability is identified as CVE-2023-36807. The attack is only possible with local access. There is not any exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic has been found in py-pdf pypdf up to 2.10.5. Affected is the function read_object of the file PyPDF2/generic/_data_structures.py. 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. CVE summarizes:

pypdf is a pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. In version 2.10.5 an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This infinite loop blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. That is, for example, the case if the user extracted metadata from such a malformed PDF. Versions prior to 2.10.5 throw an error, but do not hang forever. This issue was fixed with https://github.com/py-pdf/pypdf/pull/1331 which has been included in release 2.10.6. Users are advised to upgrade. Users unable to upgrade should modify `PyPDF2/generic/_data_structures.py::read_object` to an an error throwing case. See GHSA-hm9v-vj3r-r55m for details.

The weakness was released 07/01/2023 as 1329. The advisory is shared for download at github.com. This vulnerability is traded as CVE-2023-36807 since 06/27/2023. There are known technical details, but no exploit is available.

Upgrading to version 2.10.6 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.

VulDB is the best source for vulnerability data and more expert information about this specific topic.

Productinfo

Vendor

Name

Version

Website

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

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

Exploitinginfo

Class: Infinite loop
CWE: CWE-835 / 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: pypdf 2.10.6
Patch: github.com

Timelineinfo

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

Sourcesinfo

Product: github.com

Advisory: 1329
Status: Confirmed

CVE: CVE-2023-36807 (🔍)
GCVE (CVE): GCVE-0-2023-36807
GCVE (VulDB): GCVE-100-232776

Entryinfo

Created: 07/01/2023 08:04
Updated: 07/22/2023 09:47
Changes: 07/01/2023 08:04 (53), 07/22/2023 09:47 (11)
Complete: 🔍
Cache ID: 216::103

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