Asus RP-AC52 1.0.1.1s Web Interface apply.cgi system Parameter command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Asus RP-AC52 1.0.1.1s. It has been rated as critical. This vulnerability affects the function system of the file apply.cgi of the component Web Interface. Performing a manipulation as part of Parameter results in command injection.
This vulnerability was named CVE-2016-6558. The attack may be initiated remotely. There is no available exploit.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Asus RP-AC52 1.0.1.1s. It has been classified as critical. This affects the function system of the file apply.cgi of the component Web Interface. The manipulation as part of a Parameter 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:
A command injection vulnerability exists in apply.cgi on the ASUS RP-AC52 access point, firmware version 1.0.1.1s and possibly earlier, web interface specifically in the action_script parameter. The action_script parameter specifies a script to be executed if the action_mode parameter does not contain a valid state. If the input provided by action_script does not match one of the hard coded options, then it will be executed as the argument of either a system() or an eval() call allowing arbitrary commands to be executed.
The bug was discovered 10/17/2016. The weakness was presented 07/13/2018 by Ian Smith as confirmed advisory (CERT.org). It is possible to read the advisory at kb.cert.org. This vulnerability is uniquely identified as CVE-2016-6558 since 08/03/2016. 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 of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 634 days. During that time the estimated underground price was around $0-$5k.
Applying a patch is able to eliminate this problem.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 93596†). See VDB-121442 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.asus.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
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: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
08/03/2016 🔍10/17/2016 🔍
10/17/2016 🔍
07/13/2018 🔍
07/13/2018 🔍
07/14/2018 🔍
12/27/2024 🔍
Sources
Vendor: asus.comAdvisory: kb.cert.org
Researcher: Ian Smith
Status: Confirmed
CVE: CVE-2016-6558 (🔍)
GCVE (CVE): GCVE-0-2016-6558
GCVE (VulDB): GCVE-100-121443
CERT: 🔍
SecurityFocus: 93596 - ASUS RP-AC52 Access Point Multiple Security Vulnerabilities
See also: 🔍
Entry
Created: 07/14/2018 13:55Updated: 12/27/2024 08:29
Changes: 07/14/2018 13:55 (67), 03/04/2020 21:31 (1), 12/27/2024 08:29 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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