Totolink LR1200GB 9.1.0u.6619_B20230130 /cgi-bin/cstecgi.cgi setUploadSetting FileName os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Totolink LR1200GB 9.1.0u.6619_B20230130. Impacted is the function setUploadSetting of the file /cgi-bin/cstecgi.cgi. This manipulation of the argument FileName causes os command injection.
The identification of this vulnerability is CVE-2024-0293. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability classified as critical was found in Totolink LR1200GB 9.1.0u.6619_B20230130. Affected by this vulnerability is the function setUploadSetting of the file /cgi-bin/cstecgi.cgi. The manipulation of the argument FileName 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.
The weakness was shared 01/07/2024. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-0293. 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.
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
License
Website
- Vendor: https://www.totolink.net/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.5VulDB Meta Temp Score: 7.3
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CNA Base Score: 6.3
CNA Vector (VulDB): 🔍
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: 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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/07/2024 🔍01/07/2024 🔍
01/07/2024 🔍
01/25/2024 🔍
Sources
Vendor: totolink.netAdvisory: github.com
Status: Not defined
CVE: CVE-2024-0293 (🔍)
GCVE (CVE): GCVE-0-2024-0293
GCVE (VulDB): GCVE-100-249859
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 01/07/2024 10:03Updated: 01/25/2024 08:27
Changes: 01/07/2024 10:03 (43), 01/25/2024 08:24 (2), 01/25/2024 08:27 (28)
Complete: 🔍
Submitter: jylsec
Cache ID: 216::103
Submit
Accepted
- Submit #260912: TOTOLINK LR1200GB V9.1.0u.6619_B20230130 command injection (by jylsec)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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