FKIE_CVE-2026-15308
Vulnerability from fkie_nvd - Published: 2026-07-09 17:16 - Updated: 2026-08-20 17:02
Severity
Summary
The incremental HTML parser (html.parser.HTMLParser) allows for CPU
denial-of-service through repeated unterminated markup declarations when
processing uncontrolled data.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| python | python | * | |
| python | python | * | |
| python | python | * | |
| python | python | * | |
| python | python | * | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 | |
| python | python | 3.15.0 |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"modules": [
"html.parser",
"html"
],
"product": "CPython",
"repo": "https://github.com/python/cpython",
"vendor": "Python Software Foundation",
"versions": [
{
"lessThan": "3.10.21",
"status": "affected",
"version": "0",
"versionType": "python"
},
{
"lessThan": "3.11.16",
"status": "affected",
"version": "3.11.0",
"versionType": "python"
},
{
"lessThan": "3.12.14",
"status": "affected",
"version": "3.12.0",
"versionType": "python"
},
{
"lessThan": "3.13.15",
"status": "affected",
"version": "3.13.0",
"versionType": "python"
},
{
"lessThan": "3.14.7",
"status": "affected",
"version": "3.14.0",
"versionType": "python"
},
{
"lessThan": "3.15.0b4",
"status": "affected",
"version": "3.15.0a1",
"versionType": "python"
}
]
}
],
"source": "cna@python.org"
}
],
"configurations": [
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}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The incremental HTML parser (html.parser.HTMLParser) allows for CPU\ndenial-of-service through repeated unterminated markup declarations when\nprocessing uncontrolled data."
}
],
"id": "CVE-2026-15308",
"lastModified": "2026-08-20T17:02:59.313",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "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",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@python.org",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-15308",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-09T17:31:19.781935Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-09T17:16:58.260",
"references": [
{
"source": "cna@python.org",
"tags": [
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],
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},
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},
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},
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"url": "http://www.openwall.com/lists/oss-security/2026/07/09/4"
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}
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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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