CVE-2023-36807 (GCVE-0-2023-36807)
Vulnerability from cvelistv5 – Published: 2023-06-30 18:38 – Updated: 2024-11-06 19:51
VLAI
EPSS
VEX
Title
Infinite Loop when reading malformed objects in pypdf
Summary
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.
Severity
6.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-06 19:51 UTC
CWE
- CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/py-pdf/pypdf/security/advisori… | x_refsource_CONFIRM |
| https://github.com/py-pdf/pypdf/issues/1329 | x_refsource_MISC |
| https://github.com/py-pdf/pypdf/pull/1331 | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| py-pdf | pypdf |
Affected:
2.10.5
|
guessed | |
| pypdf_project | pypdf |
Affected:
2.10.5
cpe:2.3:a:pypdf_project:pypdf:2.10.5:*:*:*:*:*:*:* |
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"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-hm9v-vj3r-r55m"
},
{
"name": "https://github.com/py-pdf/pypdf/issues/1329",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/py-pdf/pypdf/issues/1329"
},
{
"name": "https://github.com/py-pdf/pypdf/pull/1331",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/py-pdf/pypdf/pull/1331"
}
],
"source": {
"advisory": "GHSA-hm9v-vj3r-r55m",
"discovery": "UNKNOWN"
},
"title": "Infinite Loop when reading malformed objects in pypdf"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2023-36807",
"datePublished": "2023-06-30T18:38:10.303Z",
"dateReserved": "2023-06-27T15:43:18.383Z",
"dateUpdated": "2024-11-06T19:51:43.120Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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