FKIE_CVE-2025-58160
Vulnerability from fkie_nvd - Published: 2025-08-29 22:15 - Updated: 2026-10-18 21:10
Severity
Summary
tracing is a framework for instrumenting Rust programs to collect structured, event-based diagnostic information. Prior to version 0.3.20, tracing-subscriber was vulnerable to ANSI escape sequence injection attacks. Untrusted user input containing ANSI escape sequences could be injected into terminal output when logged, potentially allowing attackers to manipulate terminal title bars, clear screens or modify terminal display, and potentially mislead users through terminal manipulation. tracing-subscriber version 0.3.20 fixes this vulnerability by escaping ANSI control characters when writing events to destinations that may be printed to the terminal. A workaround involves avoiding printing logs to terminal emulators without escaping ANSI control sequences.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "tracing",
"vendor": "tokio-rs",
"versions": [
{
"status": "affected",
"version": "\u003c 0.3.20"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "tracing is a framework for instrumenting Rust programs to collect structured, event-based diagnostic information. Prior to version 0.3.20, tracing-subscriber was vulnerable to ANSI escape sequence injection attacks. Untrusted user input containing ANSI escape sequences could be injected into terminal output when logged, potentially allowing attackers to manipulate terminal title bars, clear screens or modify terminal display, and potentially mislead users through terminal manipulation. tracing-subscriber version 0.3.20 fixes this vulnerability by escaping ANSI control characters when writing events to destinations that may be printed to the terminal. A workaround involves avoiding printing logs to terminal emulators without escaping ANSI control sequences."
},
{
"lang": "es",
"value": "tracing es un framework para instrumentar programas Rust para recopilar informaci\u00f3n de diagn\u00f3stico estructurada y basada en eventos. Antes de la versi\u00f3n 0.3.20, tracing-subscriber era vulnerable a ataques de inyecci\u00f3n de secuencias de escape ANSI. La entrada de usuario no confiable que conten\u00eda secuencias de escape ANSI podr\u00eda inyectarse en la salida de la terminal al registrarse, lo que podr\u00eda permitir a los atacantes manipular las barras de t\u00edtulo de la terminal, borrar pantallas o modificar la visualizaci\u00f3n de la terminal, y potencialmente enga\u00f1ar a los usuarios mediante la manipulaci\u00f3n de la terminal. tracing-subscriber versi\u00f3n 0.3.20 corrige esta vulnerabilidad escapando los caracteres de control ANSI al escribir eventos a destinos que pueden imprimirse en la terminal. Una soluci\u00f3n alternativa implica evitar imprimir registros en emuladores de terminal sin escapar las secuencias de control ANSI."
}
],
"id": "CVE-2025-58160",
"lastModified": "2026-10-18T21:10:00.120",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 2.3,
"baseSeverity": "LOW",
"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": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:N/VI:L/VA:N/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": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-58160",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-02T14:08:23.820634Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-08-29T22:15:32.887",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/tokio-rs/tracing/security/advisories/GHSA-xwfj-jgwm-7wp5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-150"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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.
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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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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.