WP Hotel Booking Plugin up to 2.1.0 on WordPress sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in WP Hotel Booking Plugin up to 2.1.0 on WordPress. It has been classified as critical. This impacts an unknown function. This manipulation causes sql injection. This vulnerability appears as CVE-2024-3605. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability has been found in WP Hotel Booking Plugin up to 2.1.0 on WordPress and classified as critical. Affected by this vulnerability is an unknown code block. The manipulation with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command 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:
The WP Hotel Booking plugin for WordPress is vulnerable to SQL Injection via the 'room_type' parameter of the /wphb/v1/rooms/search-rooms REST API endpoint in all versions up to, and including, 2.1.0 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
The advisory is shared at wordfence.com. This vulnerability is known as CVE-2024-3605 since 04/10/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/15/2024). MITRE ATT&CK project uses the attack technique T1505 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 9.0VulDB Meta Temp Score: 9.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CNA Base Score: 10.0
CNA 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: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
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
04/10/2024 🔍06/19/2024 🔍
06/19/2024 🔍
07/15/2024 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-3605 (🔍)
GCVE (CVE): GCVE-0-2024-3605
GCVE (VulDB): GCVE-100-269113
Entry
Created: 06/19/2024 18:08Updated: 07/15/2024 19:34
Changes: 06/19/2024 18:08 (51), 06/20/2024 04:58 (12), 07/15/2024 19:34 (13)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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