CVE-2026-120833
📛 CVE Title
labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch
Description
labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions.
Overview
- State
- PUBLISHED
- Assigner (CNA)
- VulnCheck
- CVSS severity
- HIGH
- CVSS score
- 8.5 / 10
- CVSS vector
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N- Effective score
- 8.5 / 10 HIGH source: CNA overview
- CWE(s)
-
CWE-502 - Reserved
- 2026-11-03
- Published
- 2026-11-03 00:13 UTC
- Last updated
- 2026-11-03 00:13 UTC
- Source
- https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/120xxx/CVE-2026-120833.json
- Linked Threat
- CVE-2026-120833 — labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch
European Union Vulnerability Database ENISA EUVD
ENISA's official EU repository for curated vulnerability intelligence. Carries a separate identifier (EUVD-YYYY-NNNN) and frequently exposes an earlier-published description + CVSS than NVD does.
- EUVD ID
-
EUVD-2026-115652 - Assigner
- VulnCheck
- Published
- Nov 3, 2026, 12:13:42 AM
- Updated
- Nov 3, 2026, 12:13:42 AM
- EUVD base score (CVSS 4.0)
-
8.5 / 10
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N - EUVD-reported EPSS
- 0.0000
- Vendors
- NIST
- Products
-
labbench (0 <0.46.1)
- Aliases
-
GHSA-4ppf-9g5f-q8hv
ENISA description: labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions.
EUVD references (7)
- https://github.com/usnistgov/labbench/pull/32
- https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54
- https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666
- https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md
- https://pypi.org/project/labbench/0.46.1/
- https://github.com/usnistgov/labbench
- https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch
Affected products (1)
| Vendor | Product | Versions | Platforms |
|---|---|---|---|
| NIST | labbench |
0 (affected)
|
— |
Vendor references (7)
References embedded in the original CVE record by the assigning CNA.
- GitHub Pull Request #32 patchissue-tracking
- Patch Commit patch
- https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666 technical-description
- labbench ChangeLog release-notes
- https://pypi.org/project/labbench/0.46.1/ product
- https://github.com/usnistgov/labbench product
- VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch third-party-advisory
MITRE references (7) cveawg.mitre.org
Pulled from MITRE's CVE Services API by the 🛰 Backfill from MITRE button.
- https://github.com/usnistgov/labbench product
- https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666 technical-description
- labbench ChangeLog release-notes
- Patch Commit patch
- GitHub Pull Request #32 patch, issue-tracking
- https://pypi.org/project/labbench/0.46.1/ product
- VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch third-party-advisory
Web references (0)
DuckDuckGo results ranked by threat-intel / vendor advisory domains. Generated by the 🔎 Find references (web) button above — same flow as the Remediations search.
No web references attached yet.
Remediations (10)
Remediations are stored against the linked Threat row; the list below is deduplicated across both pages.
-
web:blogs.oracle.com
For more information about the Critical Security Patch Update program, see the security vulnerability remediation practices page located on the Oracle Trust Center.
2026-11-03 11:18 UTC -
web:cvebrief.com
Remediation Immediate Action: Update the labbench library to version 0.46.1 or later immediately, as this version contains the necessary logic changes to prevent insecure deserialization. Proactive Monitoring: Review file system access logs for the creation or modification of .p or .pickle files by untrusted sources.
2026-11-03 11:18 UTC -
web:cvedatabase.com
Search and analyze CVE vulnerabilities with instant access to CVSS scores, affected products, and remediation guidance.
2026-11-03 11:18 UTC -
web:feedly.com
Welcome to Feedly CVEs — Research critical vulnerabilities ( CVEs ) with all the real-time and historical information you need to assess the risk to your organization. This free resource uses Feedly's AI to synthesize and analyze vulnerability information from across the web, including estimating CVSS scores up to 3 days before it's reported to the NVD.
2026-11-03 11:18 UTC -
web:sec.cloudapps.cisco.com
As part of Cisco's ongoing commitment to proactive security and product quality, engineering teams conducted a comprehensive internal security review. This review resulted in software hardening releases that address multiple internally discovered vulnerabilities. These vulnerabilities were found during internal testing and are not known to be actively exploited. To assist customers in patching ...
2026-11-03 11:18 UTC -
web:vuln.today
This Week: patch available. CVE-2026-120833 in labbench - HIGH 8.5. CVE-2026-120833 affects the labbench Python library, allowing arbitrary code…
2026-11-03 11:18 UTC -
web:www.aikido.dev
Vulnerability remediation tools find security weaknesses in code and infrastructure and help teams fix them. Those weaknesses can come from a flaw in the code your team wrote, or a vulnerable open-source dependency, or a misconfigured server or cloud resource. The fix differs by origin. Fixing a vulnerability in a dependency usually means upgrading to a patched release, which fails when no ...
2026-11-03 11:18 UTC -
web:www.oracle.com
This Critical Patch Update contains 1448 new security patches across the product families listed below. Please note that a My Oracle Support (MOS) note summarizing the content of this Critical Patch Update and other Oracle Software Security Assurance activities is located at July 2026 Critical Patch Update: Executive Summary and Analysis.
2026-11-03 11:18 UTC -
web:www.oracle.com
Prior Critical Patch Update and Critical Security Patch Update advisories should be reviewed for information regarding earlier published security patches. Refer to Critical Patch Updates, Critical Security Patch Updates, Security Alerts and Bulletins for information about Oracle Security advisories.
2026-11-03 11:18 UTC -
web:www.wiz.io
Wiz's CVE Database curates CVE data to create easy-to-navigate profiles that cover the entire vulnerability timeline, exploit scenarios, and mitigation steps.
2026-11-03 11:18 UTC
AI Forensic Analysis
Only Available for Registered Users. Sign in to view.
Raw JSON
The full cvelistV5 record. Download as CVE-2026-120833.json.
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"packageURL": "pkg:pypi/labbench",
"product": "labbench",
"repo": "https://github.com/usnistgov/labbench",
"vendor": "NIST",
"versions": [
{
"lessThan": "0.46.1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Dilanka Kaushal Hewage (r3vpwnx)"
}
],
"datePublic": "2026-11-02T00:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
},
"format": "CVSS"
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-11-03T00:13:42.998Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
},
"references": [
{
"name": "GitHub Pull Request #32",
"tags": [
"patch",
"issue-tracking"
],
"url": "https://github.com/usnistgov/labbench/pull/32"
},
{
"name": "Patch Commit",
"tags": [
"patch"
],
"url": "https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54"
},
{
"tags": [
"technical-description"
],
"url": "https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666"
},
{
"name": "labbench ChangeLog",
"tags": [
"release-notes"
],
"url": "https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md"
},
{
"tags": [
"product"
],
"url": "https://pypi.org/project/labbench/0.46.1/"
},
{
"tags": [
"product"
],
"url": "https://github.com/usnistgov/labbench"
},
{
"name": "VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch"
}
],
"title": "labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
"x_generator": {
"engine": "vulncheck-endgame"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2026-120833",
"datePublished": "2026-11-03T00:13:42.998Z",
"dateReserved": "2026-11-03T00:06:11.273Z",
"dateUpdated": "2026-11-03T00:13:42.998Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}