BREW-PDFLY-CVE-2026-82398 (GHSA-FC8X-2RWW-XW9M)
Vulnerability from osv_homebrew – Published: 2026-09-03 09:47 – Updated: 2026-09-17 19:15 – Source website
VLAI
Summary
pypdf: Inefficient handling of non-whitespace inputs in read_until_whitespace
Details
Impact
An attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires a call to read_until_whitespace with an input which does not have whitespace for a long time.
Patches
This has been fixed in pypdf==6.15.0.
Workarounds
If you cannot upgrade yet, consider applying the changes from PR #3947.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pypdf",
"resource_purl": "pkg:pypi/pypdf@6.16.2",
"upstream_fixed_in": "6.15.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "pdfly",
"purl": "pkg:brew/pdfly"
},
"ranges": [
{
"events": [
{
"introduced": "0.4.0"
},
{
"fixed": "0.5.1_24"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pypdf@6.16.2",
"name": "pypdf",
"resource": "pypdf",
"strategy": "registry",
"subject_version": "6.16.2"
}
]
},
"details": "### Impact\nAn attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires a call to `read_until_whitespace` with an input which does not have whitespace for a long time.\n\n### Patches\nThis has been fixed in [pypdf==6.15.0](https://github.com/py-pdf/pypdf/releases/tag/6.15.0).\n\n### Workarounds\nIf you cannot upgrade yet, consider applying the changes from PR [#3947](https://github.com/py-pdf/pypdf/pull/3947).",
"id": "BREW-pdfly-CVE-2026-82398",
"modified": "2026-09-17T19:15:55Z",
"published": "2026-09-03T09:47:01Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-fc8x-2rww-xw9m"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82398"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/pull/3947"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/commit/4959848e057e37c218dccad7465259210923faaa"
},
{
"type": "PACKAGE",
"url": "https://github.com/py-pdf/pypdf"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/releases/tag/6.15.0"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "pypdf: Inefficient handling of non-whitespace inputs in read_until_whitespace",
"upstream": [
"GHSA-fc8x-2rww-xw9m",
"CVE-2026-82398",
"PYSEC-2026-3912"
]
}
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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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