Noor Alam Magical Addons For Elementor Plugin up to 1.1.41 on WordPress server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.83 |
Summary
A vulnerability identified as critical has been detected in Noor Alam Magical Addons For Elementor Plugin up to 1.1.41 on WordPress. Impacted is an unknown function. Performing a manipulation results in server-side request forgery. This vulnerability is identified as CVE-2024-38730. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in Noor Alam Magical Addons For Elementor Plugin up to 1.1.41 on WordPress. It has been classified as critical. This affects some unknown functionality. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Server-Side Request Forgery (SSRF) vulnerability in Noor alam Magical Addons For Elementor.This issue affects Magical Addons For Elementor: from n/a through 1.1.41.
The weakness was released by Majed Refaea. It is possible to read the advisory at patchstack.com. This vulnerability is uniquely identified as CVE-2024-38730 since 06/19/2024. The exploitability is told to be easy. It is possible to initiate the attack 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 08/15/2024).
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
- 1.1.33
- 1.1.34
- 1.1.35
- 1.1.36
- 1.1.37
- 1.1.38
- 1.1.39
- 1.1.40
- 1.1.41
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.4
NVD Vector: 🔍
CNA Base Score: 4.9
CNA Vector (Patchstack): 🔍
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: Server-side request forgeryCWE: CWE-918
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
06/19/2024 🔍07/22/2024 🔍
07/22/2024 🔍
08/15/2024 🔍
Sources
Advisory: patchstack.comResearcher: Majed Refaea
Status: Not defined
CVE: CVE-2024-38730 (🔍)
GCVE (CVE): GCVE-0-2024-38730
GCVE (VulDB): GCVE-100-272211
Entry
Created: 07/22/2024 12:58Updated: 08/15/2024 06:40
Changes: 07/22/2024 12:58 (64), 07/23/2024 09:43 (1), 08/15/2024 06:40 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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