CVE-2026-71870 (GCVE-0-2026-71870)
Vulnerability from cvelistv5 – Published: 2026-08-07 19:28 – Updated: 2026-08-07 19:28
VLAI
EPSS
VEX
Title
pypdf: Possible large memory usage for large /ToUnicode streams
Summary
pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0.
Severity
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/py-pdf/pypdf/security/advisori… | x_refsource_CONFIRM |
| https://github.com/py-pdf/pypdf/pull/3944 | x_refsource_MISC |
| https://github.com/py-pdf/pypdf/commit/afba8080e1… | x_refsource_MISC |
| https://github.com/py-pdf/pypdf/releases/tag/6.15.0 | x_refsource_MISC |
{
"containers": {
"cna": {
"affected": [
{
"product": "pypdf",
"vendor": "py-pdf",
"versions": [
{
"status": "affected",
"version": "\u003c 6.15.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "CWE-400: Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-07T19:28:26.178Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-fp3f-mc75-235c",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-fp3f-mc75-235c"
},
{
"name": "https://github.com/py-pdf/pypdf/pull/3944",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/py-pdf/pypdf/pull/3944"
},
{
"name": "https://github.com/py-pdf/pypdf/commit/afba8080e19d29a3c256a742b340995e695b35aa",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/py-pdf/pypdf/commit/afba8080e19d29a3c256a742b340995e695b35aa"
},
{
"name": "https://github.com/py-pdf/pypdf/releases/tag/6.15.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/py-pdf/pypdf/releases/tag/6.15.0"
}
],
"source": {
"advisory": "GHSA-fp3f-mc75-235c",
"discovery": "UNKNOWN"
},
"title": "pypdf: Possible large memory usage for large /ToUnicode streams"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-71870",
"datePublished": "2026-08-07T19:28:26.178Z",
"dateReserved": "2026-08-07T18:26:53.524Z",
"dateUpdated": "2026-08-07T19:28:26.178Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-71870",
"date": "2026-08-09",
"epss": "0.00129",
"percentile": "0.02876"
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-08-09T05:30:58+00:00",
"cve": "CVE-2026-71870",
"id": "CVE-2026-71870",
"initial_release_date": "2026-08-07T19:28:26.178000+00:00",
"product_status:known_affected": "14",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "pypdf: pypdf: Denial of Service via crafted PDF with large /ToUnicode streams",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-71870.json",
"version": "3"
}
}
}
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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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