Unauthenticated code execution via model-weight eval
Published Nov 12, 2024 · Updated Jul 8, 2025
Code injection in Microsoft TorchGeo 0.4 through 0.6.0 allows remote attackers to execute arbitrary code through the model weight API. The torchgeo.models.get_weight() function passes its name argument directly to Python eval() instead of restricting it to known weight enums. Exploitation requires an application to expose get_weight() or TorchGeo trainers through an external API; successful input runs with the application's privileges.
Summary
What happened
Code injection in Microsoft TorchGeo 0.4 through 0.6.0 allows remote attackers to execute arbitrary code through the model weight API. The torchgeo.models.get_weight() function passes its name argument directly to Python eval() instead of restricting it to known weight enums. Exploitation requires an application to expose get_weight() or TorchGeo trainers through an external API; successful input runs with the application's privileges.
The record
- CVE
- CVE-2024-49048
- Published
- Nov 12, 2024
- Updated
- Jul 8, 2025
- Vendor
- Microsoft
- Product
- TorchGeo
- Classifications
- CWE-94, T1059.006
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Nov 12, 2024CVE publishedPublication date reported by the CVE source.
- Jul 8, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=1.0.0 <0.6.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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