FKIE_CVE-2026-93018
Vulnerability from fkie_nvd - Published: 2026-09-18 14:19 - Updated: 2026-09-22 19:16
Severity
Summary
Imager versions before 1.036 for Perl disclose uninitialised heap memory reading a paletted image with pixel indexes past its colour map in i_gpix_p and i_glin_p.
The palette is allocated uninitialised, and only the entries a reader adds count as populated. The TGA reader stores pixel indexes without checking them against the colour map. i_gpix_p() rejects only an index greater than the count, so an index equal to it reads the first unpopulated entry, and getpixel() returns it.
i_glin_p() skips any index at or beyond the count without writing that pixel to the caller's buffer. The palette-to-RGB conversion reads each row through an uninitialised buffer, so those pixels of the converted image hold prior heap contents.
Reading an attacker-supplied image through Imager->read() and then fetching its pixels or converting it to RGB discloses process heap memory.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://cpan.org/modules",
"defaultStatus": "unaffected",
"modules": [
"Imager"
],
"packageName": "Imager",
"packageURL": "pkg:cpan/Imager",
"programFiles": [
"palimg.c"
],
"programRoutines": [
{
"name": "i_gpix_p"
},
{
"name": "i_glin_p"
}
],
"repo": "https://github.com/tonycoz/imager",
"versions": [
{
"lessThan": "1.036",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Imager versions before 1.036 for Perl disclose uninitialised heap memory reading a paletted image with pixel indexes past its colour map in i_gpix_p and i_glin_p.\n\nThe palette is allocated uninitialised, and only the entries a reader adds count as populated. The TGA reader stores pixel indexes without checking them against the colour map. i_gpix_p() rejects only an index greater than the count, so an index equal to it reads the first unpopulated entry, and getpixel() returns it.\n\ni_glin_p() skips any index at or beyond the count without writing that pixel to the caller\u0027s buffer. The palette-to-RGB conversion reads each row through an uninitialised buffer, so those pixels of the converted image hold prior heap contents.\n\nReading an attacker-supplied image through Imager-\u003eread() and then fetching its pixels or converting it to RGB discloses process heap memory."
}
],
"id": "CVE-2026-93018",
"lastModified": "2026-09-22T19:16:57.277",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-93018",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-22T18:14:30.766435Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-18T14:19:04.363",
"references": [
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://github.com/tonycoz/imager/commit/dcf0a52e2732399d42ab44d98af6934658d068ee.patch"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://github.com/tonycoz/imager/security/advisories/GHSA-j7v7-cm4g-vrgf"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://metacpan.org/release/TONYC/Imager-1.036/changes"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.openwall.com/lists/oss-security/2026/09/18/8"
}
],
"sourceIdentifier": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-193"
},
{
"lang": "en",
"value": "CWE-908"
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…