Alien Technology ALR-F800 up to 19.10.24.00 File Name upgrade.cgi popen uploadedFile os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.25 |
Summary
A vulnerability was found in Alien Technology ALR-F800 up to 19.10.24.00. It has been classified as critical. This vulnerability affects the function popen of the file /var/www/cgi-bin/upgrade.cgi of the component File Name Handler. This manipulation of the argument uploadedFile causes os command injection.
The identification of this vulnerability is CVE-2024-7579. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
It is advisable to implement restrictive firewalling.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability was found in Alien Technology ALR-F800 up to 19.10.24.00. It has been declared as critical. Affected by this vulnerability is the function popen of the file /var/www/cgi-bin/upgrade.cgi of the component File Name Handler. The manipulation of the argument uploadedFile with an unknown input leads to a os command injection vulnerability. The CWE definition for the vulnerability is CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-7579. The exploitation appears to be easy. The attack can be launched remotely. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
Proper firewalling of is able to address this issue.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 19.10.0
- 19.10.1
- 19.10.2
- 19.10.3
- 19.10.4
- 19.10.5
- 19.10.6
- 19.10.7
- 19.10.8
- 19.10.9
- 19.10.10
- 19.10.11
- 19.10.12
- 19.10.13
- 19.10.14
- 19.10.15
- 19.10.16
- 19.10.17
- 19.10.18
- 19.10.19
- 19.10.20
- 19.10.21
- 19.10.22
- 19.10.23
- 19.10.24.00
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 6.3
CNA Vector: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Os command injectionCWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
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: FirewallStatus: 🔍
0-Day Time: 🔍
Timeline
08/07/2024 🔍08/07/2024 🔍
08/29/2024 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-7579 (🔍)
GCVE (CVE): GCVE-0-2024-7579
GCVE (VulDB): GCVE-100-273859
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 08/07/2024 08:43Updated: 08/29/2024 06:11
Changes: 08/07/2024 08:43 (59), 08/29/2024 06:11 (30)
Complete: 🔍
Submitter: PushEAX
Cache ID: 216::103
Submit
Accepted
- Submit #382470: Alien Technology ALR-F800 19.10.24.00 and lower OS Command Injection (by PushEAX)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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