| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.8 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in ASUSTOR ADM 3.1.1. This affects an unknown function of the file user.cgi. Performing a manipulation of the argument Name as part of System Command results in os command injection. This vulnerability was named CVE-2018-12307. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as critical, was found in ASUSTOR ADM 3.1.1. This affects an unknown functionality of the file user.cgi. The manipulation of the argument name as part of a System Command leads to a os command injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
OS command injection in user.cgi in ASUSTOR ADM version 3.1.1 allows attackers to execute system commands as root via the "name" POST parameter.
The bug was discovered 10/25/2018. The weakness was presented 12/04/2018 (Website). It is possible to read the advisory at blog.securityevaluators.com. This vulnerability is uniquely identified as CVE-2018-12307 since 06/13/2018. It is possible to initiate the attack remotely. The successful exploitation needs a authentication. 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 40 days. During that time the estimated underground price was around $0-$5k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 13381 (ASUSTOR Data Master AS-602T Multiple Vulnerabilitites).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
See VDB-127441, VDB-127442, VDB-127444 and VDB-127445 for similar entries. 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: 8.8VulDB Meta Temp Score: 8.8
VulDB Base Score: 8.8
VulDB Temp Score: 8.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD 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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Os command injectionCWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
06/13/2018 🔍10/25/2018 🔍
12/04/2018 🔍
12/04/2018 🔍
12/05/2018 🔍
04/17/2020 🔍
Sources
Advisory: blog.securityevaluators.comStatus: Not defined
CVE: CVE-2018-12307 (🔍)
GCVE (CVE): GCVE-0-2018-12307
GCVE (VulDB): GCVE-100-127443
See also: 🔍
Entry
Created: 12/05/2018 08:04Updated: 04/17/2020 09:24
Changes: 12/05/2018 08:04 (64), 04/17/2020 09:24 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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