Vulnerability-Lookup

GHSA-3G72-9F6H-W6PF

Vulnerability from github – Published: 2022-05-17 00:26 – Updated: 2025-04-20 03:37

Details

A boundary error within the "parse_tiff_ifd()" function (internal/dcraw_common.cpp) in LibRaw versions before 0.18.2 can be exploited to cause a memory corruption via e.g. a specially crafted KDC file with model set to "DSLR-A100" and containing multiple sequences of 0x100 and 0x14A TAGs.

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

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  "affected": [],
  "aliases": [
    "CVE-2017-6887"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-05-16T16:29:00Z",
    "severity": "HIGH"
  },
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  "id": "GHSA-3g72-9f6h-w6pf",
  "modified": "2025-04-20T03:37:45Z",
  "published": "2022-05-17T00:26:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-6887"
    },
    {
      "type": "WEB",
      "url": "https://github.com/LibRaw/LibRaw/commit/d7c3d2cb460be10a3ea7b32e9443a83c243b2251"
    },
    {
      "type": "WEB",
      "url": "https://secuniaresearch.flexerasoftware.com/advisories/75737"
    },
    {
      "type": "WEB",
      "url": "https://secuniaresearch.flexerasoftware.com/secunia_research/2017-6"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3950"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/98592"
    }
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  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-6887 (GCVE-0-2017-6887)

Vulnerability from cvelistv5 – Published: 2017-05-16 15:00 – Updated: 2024-08-05 15:41

Summary

Severity

No CVSS data available.

CWE

Memory Corruption, System Compromise and Denial of Service

Assigner

flexera mitre root

References

5 references

URL	Tags
http://www.securityfocus.com/bid/98592	vdb-entryx_refsource_BID
https://secuniaresearch.flexerasoftware.com/secun…	x_refsource_MISC
https://secuniaresearch.flexerasoftware.com/advis…	x_refsource_MISC
http://www.debian.org/security/2017/dsa-3950	vendor-advisoryx_refsource_DEBIAN
https://github.com/LibRaw/LibRaw/commit/d7c3d2cb4…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
LibRaw	LibRaw	Affected: 0.x prior to 0.18.2

Date Public

2017-05-11 00:00

Show details on NVD website

JSON

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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.

Detection rules are retrieved from Rulezet.

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.

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.