What is the CVSS score of EUVD-2024-0217?

EUVD-2024-0217 has a CVSS 3.1 base score of 8.1 (High). CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.5%.

Which versions of Python are affected by EUVD-2024-0217?

### Impact TorchGeo 0.4-0.6.0 used an [`eval`](https://docs.python.org/3/library/functions.html#eval) statement in its model weight API that could allow an unauthenticated, remote attacker to…. A patch is available.

Is there a patch available for EUVD-2024-0217?

Yes, a patch is available for EUVD-2024-0217. Update the affected software to the latest version immediately.

Python EUVD-2024-0217

| CVE-2024-49048 HIGH

Code Injection (CWE-94)

2026-04-01 https://github.com/torchgeo/torchgeo

GHSA-g5vp-j278-8pjh

GHSA-ghq9-vc6f-8qjf PYSEC-2024-204

RCE Code Injection Microsoft Python

8.1

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

8.1 HIGH

AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

EUVD ID Assigned

Apr 01, 2026 - 00:30 euvd

EUVD-2024-0217

Patch released

Apr 01, 2026 - 00:30 nvd

Patch available

CVE Published

Apr 01, 2026 - 00:03 nvd

HIGH 8.1

DescriptionGitHub Advisory

Impact

TorchGeo 0.4-0.6.0 used an eval statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose torchgeo.models.get_weight() or torchgeo.trainers as an external API could be affected.

Patches

The eval statement was replaced with a fixed enum lookup, preventing arbitrary code injection. All users are encouraged to upgrade to TorchGeo 0.6.1 or newer.

Workarounds

In unpatched versions, input validation and sanitization can be used to avoid this vulnerability.

References

Bug history

Introduced: https://github.com/torchgeo/torchgeo/pull/917
Patched: https://github.com/torchgeo/torchgeo/pull/2323
Released: v0.6.1

AnalysisAI

Impact TorchGeo 0.4-0.6.0 used an `eval` statement in its model weight API that could allow an unauthenticated, remote attacker to execute. Rated high severity (CVSS 8.1), this vulnerability is remotely exploitable, no authentication required. This Code Injection vulnerability could allow attackers to inject and execute arbitrary code within the application.

Technical ContextAI

This vulnerability is classified as Code Injection (CWE-94), which allows attackers to inject and execute arbitrary code within the application.

Impact TorchGeo 0.4-0.6.0 used an `eval` statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose `torchgeo.models.get_weight()` or `torchgeo.trainers` as an external API could be affected.

Patches The `eval` statement was replaced with a fixed enum lookup, preventing arbitrary code injection. All users are encouraged to upgrade to TorchGeo 0.6.1 or newer.

Workarounds In unpatched versions, input validation and sanitization can be used to avoid this vulnerability.

References

Bug history * Introduced: https://github.com/torchgeo/torchgeo/pull/917 * Patched: https://github.com/torchgeo/torchgeo/pull/2323 * Released: v0.6.1

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Never evaluate user-controlled input as code. Use sandboxing, disable dangerous functions, apply strict input validation.

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EUVD-2024-0217 vulnerability details – vuln.today

Back

Python EUVD-2024-0217

Severity by source

CVSS VectorGitHub Advisory

Lifecycle Timeline

DescriptionGitHub Advisory

Impact

Patches

Workarounds

References

Bug history

AnalysisAI

Technical ContextAI

Impact TorchGeo 0.4-0.6.0 used an eval statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose torchgeo.models.get_weight() or torchgeo.trainers as an external API could be affected.

Patches The eval statement was replaced with a fixed enum lookup, preventing arbitrary code injection. All users are encouraged to upgrade to TorchGeo 0.6.1 or newer.

Workarounds In unpatched versions, input validation and sanitization can be used to avoid this vulnerability.

References

Bug history * Introduced: https://github.com/torchgeo/torchgeo/pull/917 * Patched: https://github.com/torchgeo/torchgeo/pull/2323 * Released: v0.6.1

RemediationAI

More in Python

Same weakness CWE-94 – Code Injection

Same technique RCE

Share

External POC / Exploit Code

Impact TorchGeo 0.4-0.6.0 used an `eval` statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose `torchgeo.models.get_weight()` or `torchgeo.trainers` as an external API could be affected.

Patches The `eval` statement was replaced with a fixed enum lookup, preventing arbitrary code injection. All users are encouraged to upgrade to TorchGeo 0.6.1 or newer.