PatchSiren cyber security CVE debrief
CVE-2026-10043 MosaicML CVE debrief
CVE-2026-10043 MosaicML Composer Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MosaicML Composer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
- Vendor
- MosaicML
- Product
- Composer
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-24
- Original CVE updated
- 2026-10-25
- Advisory published
- 2026-06-24
- Advisory updated
- 2026-10-25
Who should care
Defenders responsible for MosaicML Composer installations, especially in environments where user interaction with untrusted sources is common, should assess exposure and prioritize patching.
Why it matters
CVE-2026-10043 is a high-severity vulnerability in MosaicML Composer that allows remote attackers to execute arbitrary code. Defenders should prioritize verifying and patching Composer installations, especially in environments with user interaction with untrusted sources.
- Remote code execution in Composer environments
- Potential for lateral movement within compromised networks
- Need for verification of Composer installations and user interactions
- Priority for patching and restricting untrusted source interactions
Technical summary
The vulnerability exists within the parsing of checkpoints in MosaicML Composer, resulting from the lack of proper validation of user-supplied data, which can lead to deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MosaicML Composer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
Defensive priority
Defenders should prioritize verifying and patching MosaicML Composer installations, especially in environments where user interaction with untrusted sources is common.
Recommended defensive actions
- Verify and apply patches for MosaicML Composer
- Restrict user interaction with untrusted sources
- Monitor for suspicious activity in Composer environments
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The vulnerability exists within the parsing of checkpoints in MosaicML Composer, resulting from the lack of proper validation of user-supplied data, which can lead to deserialization of untrusted data.
Sources and references
Verified primary and authoritative sources
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CVE-2026-10043 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-10043
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-10043 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-10043
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/mosaicml/composer/commit/6405188805a0054b4551ec49e4919c54c971d0e8
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Source reference
Unverified legacy reference
URL: https://www.zerodayinitiative.com/advisories/ZDI-26-384/
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.