docker-compose-remote-api up to 0.1.4 exec serviceName injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in docker-compose-remote-api up to 0.1.4 and classified as critical. Impacted is the function exec. This manipulation of the argument serviceName as part of Variable causes injection.
This vulnerability is handled as CVE-2020-7606. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as critical was found in docker-compose-remote-api up to 0.1.4 (Virtualization Software). Affected by this vulnerability is the function exec. The manipulation of the argument serviceName as part of a Variable leads to a injection vulnerability. The CWE definition for the vulnerability is CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted 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:
docker-compose-remote-api through 0.1.4 allows execution of arbitrary commands. Within 'index.js' of the package, the function 'exec(serviceName, cmd, fnStdout, fnStderr, fnExit)' uses the variable 'serviceName' which can be controlled by users without any sanitization.
The weakness was released 03/15/2020. This vulnerability is known as CVE-2020-7606 since 01/21/2020. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1055 according to MITRE ATT&CK.
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
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: InjectionCWE: CWE-74 / CWE-707 / CWE-20
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 |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/21/2020 🔍03/15/2020 🔍
03/16/2020 🔍
04/16/2024 🔍
Sources
Advisory: snyk.ioStatus: Not defined
CVE: CVE-2020-7606 (🔍)
GCVE (CVE): GCVE-0-2020-7606
GCVE (VulDB): GCVE-100-151651
scip Labs: https://www.scip.ch/en/?labs.20171019
Entry
Created: 03/16/2020 08:58Updated: 04/16/2024 14:21
Changes: 03/16/2020 08:58 (36), 03/16/2020 09:03 (18), 04/16/2024 14:21 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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