FKIE_CVE-2017-12458
Vulnerability from fkie_nvd - Published: 2017-08-04 15:29 - Updated: 2026-06-17 01:03
Severity
Summary
The nlm_swap_auxiliary_headers_in function in bfd/nlmcode.h in the Binary File Descriptor (BFD) library (aka libbfd), as distributed in GNU Binutils 2.29 and earlier, allows remote attackers to cause an out of bounds heap read via a crafted nlm file.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://sourceware.org/bugzilla/show_bug.cgi?id=21840 | Issue Tracking, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://sourceware.org/bugzilla/show_bug.cgi?id=21840 | Issue Tracking, Patch, Third Party Advisory |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
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}
],
"source": "cve@mitre.org"
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"configurations": [
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"versionEndIncluding": "2.29",
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "The nlm_swap_auxiliary_headers_in function in bfd/nlmcode.h in the Binary File Descriptor (BFD) library (aka libbfd), as distributed in GNU Binutils 2.29 and earlier, allows remote attackers to cause an out of bounds heap read via a crafted nlm file."
},
{
"lang": "es",
"value": "La funci\u00f3n nlm_swap_auxiliary_headers_in en bfd/nlmcode.h en la librer\u00eda Binary File Descriptor (BFD), tambi\u00e9n conocida como libbfd, tal y como se distribuye en GNU Binutils 2.29 y anteriores, permite que atacantes remotos provoquen una lectura de memoria din\u00e1mica fuera de l\u00edmites mediante un archivo nlm manipulado."
}
],
"id": "CVE-2017-12458",
"lastModified": "2026-06-17T01:03:20.417",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"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,
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"published": "2017-08-04T15:29:00.700",
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"value": "CWE-125"
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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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