Themefic Hydra Booking Plugin up to 1.1.32 on WordPress sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Themefic Hydra Booking Plugin up to 1.1.32 on WordPress. Affected by this issue is some unknown functionality. This manipulation causes sql injection. This vulnerability is tracked as CVE-2025-68055. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability has been found in Themefic Hydra Booking Plugin up to 1.1.32 on WordPress and classified as critical. Affected by this vulnerability is some unknown functionality. 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:
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Themefic Hydra Booking hydra-booking allows SQL Injection.This issue affects Hydra Booking: from n/a through <= 1.1.32.
The weakness was disclosed by Jarno Vos. It is possible to read the advisory at vdp.patchstack.com. This vulnerability is known as CVE-2025-68055 since 12/15/2025. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/16/2025). The attack technique deployed by this issue is T1505 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
Vendor
Name
Version
- 1.1.0
- 1.1.1
- 1.1.2
- 1.1.3
- 1.1.4
- 1.1.5
- 1.1.6
- 1.1.7
- 1.1.8
- 1.1.9
- 1.1.10
- 1.1.11
- 1.1.12
- 1.1.13
- 1.1.14
- 1.1.15
- 1.1.16
- 1.1.17
- 1.1.18
- 1.1.19
- 1.1.20
- 1.1.21
- 1.1.22
- 1.1.23
- 1.1.24
- 1.1.25
- 1.1.26
- 1.1.27
- 1.1.28
- 1.1.29
- 1.1.30
- 1.1.31
- 1.1.32
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| 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
12/15/2025 CVE reserved12/16/2025 Advisory disclosed
12/16/2025 VulDB entry created
12/16/2025 VulDB entry last update
Sources
Advisory: vdp.patchstack.comResearcher: Jarno Vos
Status: Not defined
CVE: CVE-2025-68055 (🔒)
GCVE (CVE): GCVE-0-2025-68055
GCVE (VulDB): GCVE-100-336667
Entry
Created: 12/16/2025 09:49Changes: 12/16/2025 09:49 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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