CVE-2026-93348 (GCVE-0-2026-93348)
Vulnerability from cvelistv5 – Published: 2026-09-28 15:09 – Updated: 2026-09-28 15:09 X_Open Source
VLAI
EPSS
VEX
Title
Unsloth Zoo Code Injection via model_type in config.json
Summary
Unsloth Zoo versions 2025.9.9 before 2026.8.14, as implemented in Unsloth 2025.9.9 through 2026.8.19, contains a code injection vulnerability in the model-loading compile path where the get_transformers_model_type() function in hf_utils.py collects model_type values from nested model configurations without enforcing a character allowlist, allowing newlines and arbitrary Python source to survive normalization. Attackers can embed a newline in a nested model_type value within a malicious model's config.json to terminate the generated import statement and execute arbitrary Python code via exec() in unsloth_compile_transformers(), achieving remote code execution as the loading user when the model is loaded for training or inference.
Severity
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/unslothai/unsloth-zoo/pull/1083 | patchissue-tracking |
| https://github.com/unslothai/unsloth-zoo/pull/1108 | patchissue-tracking |
| https://github.com/unslothai/unsloth/commit/92ee0… | patch |
| https://www.vulncheck.com/advisories/unsloth-zoo-… | third-party-advisory |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| unslothai | unsloth-zoo |
Affected:
2025.9.9 , < 2026.8.14
(date)
|
guessed | |
| unslothai | unsloth |
Affected:
2025.9.9 , < 2026.8.20
(date)
|
guessed |
Date Public
2026-08-23 00:00
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"packageURL": "pkg:github/unslothai/unsloth-zoo",
"product": "unsloth-zoo",
"repo": "https://github.com/unslothai/unsloth-zoo",
"vendor": "unslothai",
"versions": [
{
"lessThan": "2026.8.14",
"status": "affected",
"version": "2025.9.9",
"versionType": "date"
}
]
},
{
"defaultStatus": "unaffected",
"packageURL": "pkg:github/unslothai/unsloth",
"product": "unsloth",
"repo": "https://github.com/unslothai/unsloth",
"vendor": "unslothai",
"versions": [
{
"lessThan": "2026.8.20",
"status": "affected",
"version": "2025.9.9",
"versionType": "date"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Ariel Fogel (afogel) of Pillar Security"
}
],
"datePublic": "2026-08-23T00:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "Unsloth Zoo versions 2025.9.9 before 2026.8.14, as implemented in Unsloth 2025.9.9 through 2026.8.19, contains a code injection vulnerability in the model-loading compile path where the get_transformers_model_type() function in hf_utils.py collects model_type values from nested model configurations without enforcing a character allowlist, allowing newlines and arbitrary Python source to survive normalization. Attackers can embed a newline in a nested model_type value within a malicious model\u0027s config.json to terminate the generated import statement and execute arbitrary Python code via exec() in unsloth_compile_transformers(), achieving remote code execution as the loading user when the model is loaded for training or inference."
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-28T15:09:41.524Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
},
"references": [
{
"name": "Pull Request (1)",
"tags": [
"patch",
"issue-tracking"
],
"url": "https://github.com/unslothai/unsloth-zoo/pull/1083"
},
{
"name": "Pull Request (2)",
"tags": [
"patch",
"issue-tracking"
],
"url": "https://github.com/unslothai/unsloth-zoo/pull/1108"
},
{
"name": "Unsloth Zoo Dependency Bump",
"tags": [
"patch"
],
"url": "https://github.com/unslothai/unsloth/commit/92ee0207a38ebc8af1a0e678aa92d7e7d901ea0d"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/unsloth-zoo-code-injection-via-model-type-in-config-json"
}
],
"source": {
"discovery": "UNKNOWN"
},
"tags": [
"x_open-source"
],
"title": "Unsloth Zoo Code Injection via model_type in config.json",
"x_generator": {
"engine": "vulncheck"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2026-93348",
"datePublished": "2026-09-28T15:09:41.524Z",
"dateReserved": "2026-09-17T18:41:40.757Z",
"dateUpdated": "2026-09-28T15:09:41.524Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"packageURL": "pkg:github/unslothai/unsloth-zoo",
"product": "unsloth-zoo",
"repo": "https://github.com/unslothai/unsloth-zoo",
"vendor": "unslothai",
"versions": [
{
"lessThan": "2026.8.14",
"status": "affected",
"version": "2025.9.9",
"versionType": "date"
}
]
},
{
"defaultStatus": "unaffected",
"packageURL": "pkg:github/unslothai/unsloth",
"product": "unsloth",
"repo": "https://github.com/unslothai/unsloth",
"vendor": "unslothai",
"versions": [
{
"lessThan": "2026.8.20",
"status": "affected",
"version": "2025.9.9",
"versionType": "date"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Unsloth Zoo versions 2025.9.9 before 2026.8.14, as implemented in Unsloth 2025.9.9 through 2026.8.19, contains a code injection vulnerability in the model-loading compile path where the get_transformers_model_type() function in hf_utils.py collects model_type values from nested model configurations without enforcing a character allowlist, allowing newlines and arbitrary Python source to survive normalization. Attackers can embed a newline in a nested model_type value within a malicious model\u0027s config.json to terminate the generated import statement and execute arbitrary Python code via exec() in unsloth_compile_transformers(), achieving remote code execution as the loading user when the model is loaded for training or inference."
}
],
"id": "CVE-2026-93348",
"lastModified": "2026-09-28T16:17:17.643",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2,
"source": "disclosure@vulncheck.com",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
},
"published": "2026-09-28T16:17:17.643",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/unslothai/unsloth-zoo/pull/1083"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/unslothai/unsloth-zoo/pull/1108"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/unslothai/unsloth/commit/92ee0207a38ebc8af1a0e678aa92d7e7d901ea0d"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/unsloth-zoo-code-injection-via-model-type-in-config-json"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-94"
}
],
"source": "disclosure@vulncheck.com",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-09-28T16:05:24+00:00",
"cve": "CVE-2026-93348",
"id": "CVE-2026-93348",
"initial_release_date": "2026-09-28T15:09:41.524000+00:00",
"product_status:known_affected": "7",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "unsloth-zoo: unsloth: Unsloth Zoo: Arbitrary code execution via crafted model configuration",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-93348.json",
"version": "3"
}
}
}
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…