CVE-2017-6892 (GCVE-0-2017-6892)
Vulnerability from cvelistv5 – Published: 2017-06-12 16:00 – Updated: 2024-08-05 15:41
VLAI
EPSS
VEX
Summary
In libsndfile version 1.0.28, an error in the "aiff_read_chanmap()" function (aiff.c) can be exploited to cause an out-of-bounds read memory access via a specially crafted AIFF file.
Severity
8.8 (High)
CWE
- Out-of-bounds read memory access leading to information disclosure
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://secuniaresearch.flexerasoftware.com/secun… | x_refsource_MISC |
| https://secuniaresearch.flexerasoftware.com/advis… | x_refsource_MISC |
| https://github.com/erikd/libsndfile/commit/f833c5… | x_refsource_CONFIRM |
| https://security.gentoo.org/glsa/201811-23 | vendor-advisoryx_refsource_GENTOO |
| https://usn.ubuntu.com/4013-1/ | vendor-advisoryx_refsource_UBUNTU |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Flexera Software LLC | libsndfile |
Affected:
1.0.28
|
guessed |
Date Public
2017-06-12 00:00
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"cve": "CVE-2017-6892",
"id": "CVE-2017-6892",
"initial_release_date": "2017-05-23T00:00:00+00:00",
"product_status:known_affected": "7",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "libsndfile: Information disclosure via aiff_read_chanmap() function",
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"version": "3"
},
"suse_vex": {
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"current_release_date": "2026-09-04T01:02:45Z",
"cve": "CVE-2017-6892",
"id": "CVE-2017-6892",
"initial_release_date": "2023-02-15T04:48:38Z",
"product_status:known_affected": "394",
"product_status:known_not_affected": "17",
"product_status:recommended": "162",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-6892",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-6892.json",
"version": "30"
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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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