FKIE_CVE-2019-20838
Vulnerability from fkie_nvd - Published: 2020-06-15 17:15 - Updated: 2026-06-17 02:31
Severity
Summary
libpcre in PCRE before 8.43 allows a subject buffer over-read in JIT when UTF is disabled, and \X or \R has more than one fixed quantifier, a related issue to CVE-2019-20454.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| pcre | pcre | * | |
| apple | macos | * | |
| splunk | universal_forwarder | * | |
| splunk | universal_forwarder | * | |
| splunk | universal_forwarder | 9.1.0 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "libpcre in PCRE before 8.43 allows a subject buffer over-read in JIT when UTF is disabled, and \\X or \\R has more than one fixed quantifier, a related issue to CVE-2019-20454."
},
{
"lang": "es",
"value": "libpcre en PCRE versiones anteriores a 8.43, permite una lectura excesiva del b\u00fafer del asunto en JIT cuando UTF es deshabilitado, y \\X o \\R contiene m\u00e1s de un cuantificador corregido, un problema relacionado con CVE-2019-20454"
}
],
"id": "CVE-2019-20838",
"lastModified": "2026-06-17T02:31:17.503",
"metrics": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"availabilityImpact": "HIGH",
"baseScore": 7.5,
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"scope": "UNCHANGED",
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"published": "2020-06-15T17:15:09.683",
"references": [
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"tags": [
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"url": "http://seclists.org/fulldisclosure/2020/Dec/32"
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"url": "https://support.apple.com/kb/HT211931"
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"url": "https://www.pcre.org/original/changelog.txt"
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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