| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Magnet Forensics Axiom and classified as critical. Impacted is an unknown function. Performing a manipulation results in command injection. This vulnerability is identified as CVE-2024-7448. The attack can only be performed from the local network. There is not any exploit available. The affected component should be upgraded.
Details
A vulnerability classified as critical has been found in Magnet Forensics Axiom (the affected version unknown). This affects an unknown part. The manipulation with an unknown input leads to a command injection vulnerability. CWE is classifying the issue as CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Magnet Forensics AXIOM Command Injection Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Magnet Forensics AXIOM. User interaction is required to exploit this vulnerability in that the target must acquire data from a malicious mobile device. The specific flaw exists within the Android device image acquisition functionality. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-23964.
It is possible to read the advisory at zerodayinitiative.com. This vulnerability is uniquely identified as CVE-2024-7448 since 08/03/2024. The exploitability is told to be easy. The attack needs to be done within the local network. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Upgrading eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.0VulDB Meta Temp Score: 7.9
VulDB Base Score: 8.0
VulDB Temp Score: 7.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.0
NVD Vector: 🔍
CNA Base Score: 8.0
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
08/03/2024 🔍08/16/2024 🔍
08/16/2024 🔍
03/14/2025 🔍
Sources
Advisory: ZDI-24-1129Status: Confirmed
CVE: CVE-2024-7448 (🔍)
GCVE (CVE): GCVE-0-2024-7448
GCVE (VulDB): GCVE-100-274851
Entry
Created: 08/16/2024 09:11Updated: 03/14/2025 14:22
Changes: 08/16/2024 09:11 (51), 08/22/2024 16:13 (12), 08/24/2024 09:07 (10), 03/14/2025 14:22 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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