open-mmlab mmdetection up to 3.3.0 pickle.loads deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in open-mmlab mmdetection up to 3.3.0. This impacts the function pickle.loads. The manipulation results in deserialization.
This vulnerability is known as CVE-2024-12044. It is possible to launch the attack remotely. No exploit is available.
Details
A vulnerability was found in open-mmlab mmdetection up to 3.3.0. It has been classified as critical. Affected is the function pickle.loads. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
A remote code execution vulnerability exists in open-mmlab/mmdetection version v3.3.0. The vulnerability is due to the use of the `pickle.loads()` function in the `all_reduce_dict()` distributed training API without proper sanitization. This allows an attacker to execute arbitrary code by broadcasting a malicious payload to the distributed training network.
The advisory is available at huntr.com. This vulnerability is traded as CVE-2024-12044 since 12/02/2024. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Technical details are known, but there is no available exploit. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 03/20/2025).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (@huntr_ai): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/02/2024 🔍03/20/2025 🔍
03/20/2025 🔍
03/20/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-12044 (🔍)
GCVE (CVE): GCVE-0-2024-12044
GCVE (VulDB): GCVE-100-300210
Entry
Created: 03/20/2025 11:58Changes: 03/20/2025 11:58 (61)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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