FKIE_CVE-2024-38525
Vulnerability from fkie_nvd - Published: 2024-06-28 22:15 - Updated: 2026-06-17 07:40
Severity
Summary
dd-trace-cpp is the Datadog distributed tracing for C++. When the library fails to extract trace context due to malformed unicode, it logs the list of audited headers and their values using the `nlohmann` JSON library. However, due to the way the JSON library is invoked, it throws an uncaught exception, which results in a crash. This vulnerability has been patched in version 0.2.2.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "dd-trace-cpp",
"vendor": "DataDog",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.1.12, \u003c 0.2.2"
}
]
}
],
"source": "security-advisories@github.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:datadoghq:dd-trace-cpp:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "dd-trace-cpp",
"vendor": "datadoghq",
"versions": [
{
"lessThan": "0.1.13",
"status": "affected",
"version": "0",
"versionType": "custom"
},
{
"lessThan": "0.2.2",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "dd-trace-cpp is the Datadog distributed tracing for C++. When the library fails to extract trace context due to malformed unicode, it logs the list of audited headers and their values using the `nlohmann` JSON library. However, due to the way the JSON library is invoked, it throws an uncaught exception, which results in a crash. This vulnerability has been patched in version 0.2.2."
},
{
"lang": "es",
"value": "dd-trace-cpp es el seguimiento distribuido de Datadog para C++. Cuando la librer\u00eda no puede extraer el contexto de seguimiento debido a un Unicode con formato incorrecto, registra la lista de encabezados auditados y sus valores utilizando la librer\u00eda JSON `nlohmann`. Sin embargo, debido a la forma en que se invoca la librer\u00eda JSON, genera una excepci\u00f3n no detectada, lo que provoca un bloqueo. Esta vulnerabilidad ha sido parcheada en la versi\u00f3n 0.2.2."
}
],
"id": "CVE-2024-38525",
"lastModified": "2026-06-17T07:40:28.293",
"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": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-38525",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-07-02T15:43:21.179262Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-06-28T22:15:02.567",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/DataDog/dd-trace-cpp/releases/tag/v0.2.2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/DataDog/dd-trace-cpp/security/advisories/GHSA-rf3p-mg22-qv6w"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://github.com/DataDog/dd-trace-cpp/releases/tag/v0.2.2"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://github.com/DataDog/dd-trace-cpp/security/advisories/GHSA-rf3p-mg22-qv6w"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
},
{
"lang": "en",
"value": "CWE-248"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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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