Juplink RX4-1500 1.0.2/1.0.3/1.0.4/1.0.5 HTTP Request homemng.htm command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Juplink RX4-1500 1.0.2/1.0.3/1.0.4/1.0.5. This issue affects some unknown processing of the file homemng.htm of the component HTTP Request Handler. This manipulation causes command injection. This vulnerability is handled as CVE-2023-41029. The attack can only be done within the local network. There is not any exploit available.
Details
A vulnerability classified as critical was found in Juplink RX4-1500 1.0.2/1.0.3/1.0.4/1.0.5. Affected by this vulnerability is some unknown processing of the file homemng.htm of the component HTTP Request Handler. The manipulation with an unknown input leads to a command injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Command injection vulnerability in the homemng.htm endpoint in Juplink RX4-1500 Wifi router firmware versions V1.0.2, V1.0.3, V1.0.4, and V1.0.5 allows authenticated remote attackers to execute commands as root via specially crafted HTTP requests to the vulnerable endpoint.
The weakness was released 09/23/2023. It is possible to read the advisory at blog.exodusintel.com. This vulnerability is known as CVE-2023-41029 since 08/22/2023. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/14/2023). The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
By approaching the search of inurl:homemng.htm it is possible to find vulnerable targets with Google Hacking.
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: 8.3VulDB Meta Temp Score: 8.3
VulDB Base Score: 8.0
VulDB Temp Score: 8.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 8.0
CNA Vector (Exodus Intelligence): 🔍
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: 🔍
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
Google Hack: 🔍
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/22/2023 🔍09/23/2023 🔍
09/23/2023 🔍
10/14/2023 🔍
Sources
Advisory: blog.exodusintel.comStatus: Not defined
CVE: CVE-2023-41029 (🔍)
GCVE (CVE): GCVE-0-2023-41029
GCVE (VulDB): GCVE-100-240211
Entry
Created: 09/23/2023 07:11Updated: 10/14/2023 15:17
Changes: 09/23/2023 07:11 (55), 10/14/2023 15:17 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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