EFS Easy Address Book Web Server 1.6 POST Request /searchbook.ghp Username memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in EFS Easy Address Book Web Server 1.6. It has been classified as critical. This issue affects some unknown processing of the file /searchbook.ghp of the component POST Request Handler. This manipulation of the argument Username causes memory corruption. This vulnerability is tracked as CVE-2023-4491. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability has been found in EFS Easy Address Book Web Server 1.6 (Web Server) and classified as critical. Affected by this vulnerability is an unknown code block of the file /searchbook.ghp of the component POST Request Handler. The manipulation of the argument username with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Buffer overflow vulnerability in Easy Address Book Web Server 1.6 version. The exploitation of this vulnerability could allow an attacker to send a very long username string to /searchbook.ghp, asking for the name via a POST request, resulting in arbitrary code execution on the remote machine.
The weakness was disclosed 10/04/2023. It is possible to read the advisory at incibe.es. This vulnerability is known as CVE-2023-4491 since 08/23/2023. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/04/2023).
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
Vendor
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: 🔍
CNA Base Score: 9.8
CNA Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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 |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/23/2023 🔍10/04/2023 🔍
10/04/2023 🔍
10/04/2023 🔍
Sources
Advisory: incibe.esStatus: Not defined
CVE: CVE-2023-4491 (🔍)
GCVE (CVE): GCVE-0-2023-4491
GCVE (VulDB): GCVE-100-241267
Entry
Created: 10/04/2023 17:09Changes: 10/04/2023 17:09 (49), 10/04/2023 17:10 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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