| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, was found in Acrolinx Server up to 5.2.4 on Windows. The impacted element is an unknown function. Executing a manipulation can lead to path traversal. This vulnerability is tracked as CVE-2018-7719. The attack can be launched remotely. Moreover, an exploit is present. You should upgrade the affected component.
Details
A vulnerability classified as critical was found in Acrolinx Server up to 5.2.4 on Windows. This vulnerability affects some unknown functionality. The manipulation with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect confidentiality, and integrity. CVE summarizes:
Acrolinx Server before 5.2.5 on Windows allows Directory Traversal.
The bug was discovered 03/21/2018. The weakness was disclosed 03/25/2018 (Website). The advisory is shared for download at support.acrolinx.com. This vulnerability was named CVE-2018-7719 since 03/06/2018. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details are unknown but a public exploit is available. The MITRE ATT&CK project declares the attack technique as T1006.
It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 4 days. During that time the estimated underground price was around $0-$5k.
Upgrading to version 5.2.5 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at Exploit-DB (44345). Once again VulDB remains the best source for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 6.7
VulDB Base Score: 6.5
VulDB Temp Score: 5.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
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: Path traversalCWE: CWE-22
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 |
OpenVAS ID: 831543
OpenVAS Name: MikroTik RouterOS RCE Vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Server 5.2.5
Timeline
03/06/2018 🔍03/21/2018 🔍
03/25/2018 🔍
03/25/2018 🔍
03/26/2018 🔍
10/20/2025 🔍
Sources
Advisory: support.acrolinx.comStatus: Confirmed
Confirmation: 🔍
CVE: CVE-2018-7719 (🔍)
GCVE (CVE): GCVE-0-2018-7719
GCVE (VulDB): GCVE-100-115012
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/26/2018 10:01Updated: 10/20/2025 13:00
Changes: 03/26/2018 10:01 (63), 01/16/2020 15:43 (5), 10/20/2025 13:00 (18)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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