lightning-ai pytorch-lightning up to 2.3.2 /api/v1/state resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in lightning-ai pytorch-lightning up to 2.3.2. Impacted is an unknown function of the file /api/v1/state. Performing a manipulation results in resource consumption. This vulnerability was named CVE-2024-8020. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as critical has been found in lightning-ai pytorch-lightning up to 2.3.2. This affects some unknown functionality of the file /api/v1/state. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
A vulnerability in lightning-ai/pytorch-lightning version 2.3.2 allows an attacker to cause a denial of service by sending an unexpected POST request to the `/api/v1/state` endpoint of `LightningApp`. This issue occurs due to improper handling of unexpected state values, which results in the server shutting down.
The advisory is shared at huntr.com. This vulnerability is uniquely identified as CVE-2024-8020 since 08/20/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
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
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.5VulDB Meta Temp Score: 7.5
VulDB Base Score: 7.5
VulDB Temp Score: 7.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (@huntr_ai): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/20/2024 🔍03/20/2025 🔍
03/20/2025 🔍
08/01/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-8020 (🔍)
GCVE (CVE): GCVE-0-2024-8020
GCVE (VulDB): GCVE-100-300393
Entry
Created: 03/20/2025 15:04Updated: 08/01/2025 03:55
Changes: 03/20/2025 15:04 (63), 08/01/2025 03:55 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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