FKIE_CVE-2019-17543
Vulnerability from fkie_nvd - Published: 2019-10-14 02:15 - Updated: 2026-06-17 02:24
Severity
Summary
LZ4 before 1.9.2 has a heap-based buffer overflow in LZ4_write32 (related to LZ4_compress_destSize), affecting applications that call LZ4_compress_fast with a large input. (This issue can also lead to data corruption.) NOTE: the vendor states "only a few specific / uncommon usages of the API are at risk."
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lz4_project | lz4 | * |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:a:lz4_project:lz4:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1AD95A2B-FA31-4D45-8336-CA9F1D963D3B",
"versionEndExcluding": "1.9.2",
"vulnerable": true
}
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"operator": "OR"
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "LZ4 before 1.9.2 has a heap-based buffer overflow in LZ4_write32 (related to LZ4_compress_destSize), affecting applications that call LZ4_compress_fast with a large input. (This issue can also lead to data corruption.) NOTE: the vendor states \"only a few specific / uncommon usages of the API are at risk.\""
},
{
"lang": "es",
"value": "LZ4 versiones anteriores a 1.9.2, presenta un desbordamiento de b\u00fafer en la regi\u00f3n heap de la memoria en LZ4_write32 (relacionado con la funci\u00f3n LZ4_compress_destSize), que afecta a las aplicaciones que llaman a LZ4_compress_fast con una entrada larga. (Este problema tambi\u00e9n puede conllevar a la corrupci\u00f3n de datos). NOTA: el fabricante indica que \"solo unos pocos usos espec\u00edficos / poco comunes de la API est\u00e1n en riesgo\"."
}
],
"id": "CVE-2019-17543",
"lastModified": "2026-06-17T02:24:06.950",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
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"confidentialityImpact": "HIGH",
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"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"published": "2019-10-14T02:15:10.873",
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"url": "https://www.oracle.com//security-alerts/cpujul2021.html"
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"vulnStatus": "Modified",
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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.
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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