FireEye Endpoint Security 5.2.0.958244 Request Packet preview cleanup
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.2 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in FireEye Endpoint Security 5.2.0.958244. Affected is an unknown function of the component Request Packet Handler. Performing a manipulation of the argument preview results in cleanup. This vulnerability is known as CVE-2024-0316. Attacking locally is a requirement. No exploit is available.
Details
A vulnerability was found in FireEye Endpoint Security 5.2.0.958244. It has been classified as problematic. This affects an unknown functionality of the component Request Packet Handler. The manipulation of the argument preview with an unknown input leads to a cleanup vulnerability. CWE is classifying the issue as CWE-460. The product does not clean up its state or incorrectly cleans up its state when an exception is thrown, leading to unexpected state or control flow. This is going to have an impact on integrity, and availability. The summary by CVE is:
Improper cleanup vulnerability in exceptions thrown in FireEye Endpoint Security, affecting version 5.2.0.958244. This vulnerability could allow an attacker to send multiple request packets to the containment_notify/preview parameter, which could lead to a service outage.
The weakness was published 01/15/2024 by Albert Sánchez Miñano. It is possible to read the advisory at incibe.es. This vulnerability is uniquely identified as CVE-2024-0316 since 01/08/2024. Technical details of the vulnerability are known, but there is no available exploit.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.2VulDB Meta Temp Score: 6.2
VulDB Base Score: 4.4
VulDB Temp Score: 4.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 6.8
CNA Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: CleanupCWE: CWE-460 / CWE-459
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/08/2024 🔍01/15/2024 🔍
01/15/2024 🔍
02/03/2024 🔍
Sources
Advisory: incibe.esResearcher: Albert Sánchez Miñano
Status: Not defined
CVE: CVE-2024-0316 (🔍)
GCVE (CVE): GCVE-0-2024-0316
GCVE (VulDB): GCVE-100-250755
Entry
Created: 01/15/2024 18:15Updated: 02/03/2024 14:20
Changes: 01/15/2024 18:15 (48), 02/03/2024 14:20 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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