EyesOfNetwork up to 5.3-8 AutoDiscovery lilac/autodiscovery.php nmap_binary os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in EyesOfNetwork up to 5.3-8. It has been rated as critical. This vulnerability affects unknown code of the file lilac/autodiscovery.php of the component AutoDiscovery Module. This manipulation of the argument nmap_binary causes os command injection. This vulnerability is handled as CVE-2020-27887. There is not any exploit available.
Details
A vulnerability has been found in EyesOfNetwork up to 5.3-8 and classified as critical. Affected by this vulnerability is an unknown function of the file lilac/autodiscovery.php of the component AutoDiscovery Module. The manipulation of the argument nmap_binary 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 released 10/30/2020. The advisory is shared at github.com. This vulnerability is known as CVE-2020-27887. The exploitation appears to be easy. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1202 for this issue.
By approaching the search of inurl:lilac/autodiscovery.php it is possible to find vulnerable targets with Google Hacking.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 7.1
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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
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
10/27/2020 🔍10/30/2020 🔍
10/30/2020 🔍
11/30/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2020-27887 (🔍)
GCVE (CVE): GCVE-0-2020-27887
GCVE (VulDB): GCVE-100-164101
Entry
Created: 10/30/2020 14:01Updated: 11/30/2020 17:10
Changes: 10/30/2020 14:01 (16), 10/30/2020 14:02 (21), 11/30/2020 17:05 (2), 11/30/2020 17:10 (18)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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