Vulnerability from bitnami_vulndb
Published
2026-08-19 11:37
Modified
2026-08-19 12:00
Summary
Incremental HTMLParser feed() allows CPU-exhaustion DoS via repeated unterminated markup declarations
Details
The incremental HTML parser (html.parser.HTMLParser) allows for CPU denial-of-service through repeated unterminated markup declarations when processing uncontrolled data.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "libpython",
"purl": "pkg:bitnami/libpython"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.10.21"
},
{
"introduced": "3.11.0"
},
{
"fixed": "3.11.16"
},
{
"introduced": "3.12.0"
},
{
"fixed": "3.12.14"
},
{
"introduced": "3.13.0"
},
{
"fixed": "3.13.15"
},
{
"introduced": "3.14.0"
},
{
"fixed": "3.14.7"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
],
"aliases": [
"CVE-2026-15308"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:python:python:*:*:*:*:*:*:*:*"
],
"severity": "High"
},
"details": "The incremental HTML parser (html.parser.HTMLParser) allows for CPU\ndenial-of-service through repeated unterminated markup declarations when\nprocessing uncontrolled data.",
"id": "BIT-libpython-2026-15308",
"modified": "2026-08-19T12:00:51.730Z",
"published": "2026-08-19T11:37:41.302Z",
"references": [
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/09/4"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/07efb08123ba9367a7107325adb9d5626dca1ca9"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/1e7956f1a722df9aabc509c30f8fbdc3a2b4fdc7"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/785df8f743800661961528970f8598edcd291c14"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/7933f4bf7131aa4140750f9404f5de0aa2969ced"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/bcf98ddbc40ec9b3ee87da0124a5660b19b7e606"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/c2390b9376e35a701ed3acc597b8fc87546c9b00"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/e9f92ac0b298292e7ff998e52cb8ccacfb27a0bd"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/issues/153030"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/pull/153031"
},
{
"type": "WEB",
"url": "https://mail.python.org/archives/list/security-announce@python.org/thread/F6453LWKSHKCTWFLCOURWPLETNUIW2Z5/"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-15308"
}
],
"schema_version": "1.6.2",
"summary": "Incremental HTMLParser feed() allows CPU-exhaustion DoS via repeated unterminated markup declarations"
}
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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.
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.
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