dmlc gluon-cv up to 0.10.0 ImageClassificationDataset.from_csv link following
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in dmlc gluon-cv up to 0.10.0. This impacts the function ImageClassificationDataset.from_csv. The manipulation leads to input validation.
This vulnerability is listed as CVE-2024-12216. The attack must be carried out locally. There is no available exploit.
Details
A vulnerability was found in dmlc gluon-cv up to 0.10.0 and classified as problematic. This issue affects the function ImageClassificationDataset.from_csv. The manipulation with an unknown input leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-59. The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource. Impacted is integrity, and availability. The summary by CVE is:
A vulnerability in the `ImageClassificationDataset.from_csv()` API of the `dmlc/gluon-cv` repository, version 0.10.0, allows for arbitrary file write. The function downloads and extracts `tar.gz` files from URLs without proper sanitization, making it susceptible to a TarSlip vulnerability. Attackers can exploit this by crafting malicious tar files that, when extracted, can overwrite files on the victim's system via path traversal or faked symlinks.
The advisory is shared at huntr.com. The identification of this vulnerability is CVE-2024-12216 since 12/04/2024. The exploitation is known to be easy. An attack has to be approached locally. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.5
VulDB Base Score: 3.9
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.1
CNA Vector (@huntr_ai): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Link followingCWE: CWE-59
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/04/2024 🔍03/20/2025 🔍
03/20/2025 🔍
10/15/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-12216 (🔍)
GCVE (CVE): GCVE-0-2024-12216
GCVE (VulDB): GCVE-100-300353
Entry
Created: 03/20/2025 14:42Updated: 10/15/2025 19:24
Changes: 03/20/2025 14:42 (61), 10/15/2025 19:24 (2)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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