| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in FelixSchwarz mjml-python 0.10.0. This impacts an unknown function. Performing a manipulation results in input validation. This vulnerability is identified as CVE-2024-26151. The attack can be initiated remotely. There is not any exploit available. You should upgrade the affected component.
Details
A vulnerability was found in FelixSchwarz mjml-python 0.10.0 (Programming Language Software). It has been classified as problematic. This affects some unknown functionality. The manipulation with an unknown input leads to a input validation vulnerability. CWE is classifying the issue as CWE-20. The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
The `mjml` PyPI package, found at the `FelixSchwarz/mjml-python` GitHub repo, is an unofficial Python port of MJML, a markup language created by Mailjet. All users of `FelixSchwarz/mjml-python` who insert untrusted data into mjml templates unless that data is checked in a very strict manner. User input like `<script>` would be rendered as `` in the final HTML output. The attacker must be able to control some data which is later injected in an mjml template which is then send out as email to other users. The attacker could control contents of email messages sent through the platform. The problem has been fixed in version 0.11.0 of this library. Versions before 0.10.0 are not affected by this security issue. As a workaround, ensure that potentially untrusted user input does not contain any sequences which could be rendered as HTML.
The weakness was released 02/22/2024. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-26151 since 02/14/2024. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.11.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.7
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.2
CNA Vector (GitHub, Inc.): 🔍
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: Input validationCWE: CWE-20
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: mjml-python 0.11.0
Patch: github.com
Timeline
02/14/2024 🔍02/22/2024 🔍
02/22/2024 🔍
03/13/2024 🔍
Sources
Product: github.comAdvisory: 84c495da20a91640a1ca551ace17df7f3be644aa
Status: Confirmed
CVE: CVE-2024-26151 (🔍)
GCVE (CVE): GCVE-0-2024-26151
GCVE (VulDB): GCVE-100-254571
Entry
Created: 02/22/2024 19:57Updated: 03/13/2024 14:51
Changes: 02/22/2024 19:57 (48), 03/13/2024 14:48 (3), 03/13/2024 14:51 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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