GSD-2023-45662
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
stb_image is a single file MIT licensed library for processing images. When `stbi_set_flip_vertically_on_load` is set to `TRUE` and `req_comp` is set to a number that doesn’t match the real number of components per pixel, the library attempts to flip the image vertically. A crafted image file can trigger `memcpy` out-of-bounds read because `bytes_per_pixel` used to calculate `bytes_per_row` doesn’t match the real image array dimensions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-45662",
"id": "GSD-2023-45662"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "stb_image is a single file MIT licensed library for processing images. When `stbi_set_flip_vertically_on_load` is set to `TRUE` and `req_comp` is set to a number that doesn\u2019t match the real number of components per pixel, the library attempts to flip the image vertically. A crafted image file can trigger `memcpy` out-of-bounds read because `bytes_per_pixel` used to calculate `bytes_per_row` doesn\u2019t match the real image array dimensions. ",
"id": "GSD-2023-45662",
"modified": "2023-12-13T01:20:38.276494Z",
"schema_version": "1.4.0"
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"value": "stb_image is a single file MIT licensed library for processing images. When `stbi_set_flip_vertically_on_load` is set to `TRUE` and `req_comp` is set to a number that doesn\u2019t match the real number of components per pixel, the library attempts to flip the image vertically. A crafted image file can trigger `memcpy` out-of-bounds read because `bytes_per_pixel` used to calculate `bytes_per_row` doesn\u2019t match the real image array dimensions. "
}
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"impact": {
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"attackVector": "NETWORK",
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"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"name": "https://securitylab.github.com/advisories/GHSL-2023-145_GHSL-2023-151_stb_image_h/",
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"source": {
"advisory": "GHSA-v9xx-v7cm-9337",
"discovery": "UNKNOWN"
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"tags": [
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"impact": {
"baseMetricV3": {
"cvssV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H",
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"impactScore": 5.2
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"lastModifiedDate": "2023-11-04T06:15Z",
"publishedDate": "2023-10-21T00:15Z"
}
}
}
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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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