sarrionandia tournatrack up to 4c13a23f43da5317eea4614870a7a8510fc540ec Jinja2 Template check_id.py ID injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in sarrionandia tournatrack up to 4c13a23f43da5317eea4614870a7a8510fc540ec. This affects an unknown part of the file check_id.py of the component Jinja2 Template Handler. This manipulation of the argument ID causes injection. The identification of this vulnerability is CVE-2025-3805. The attack can only be executed locally. Furthermore, there is an exploit available. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available.
Details
A vulnerability classified as critical was found in sarrionandia tournatrack up to 4c13a23f43da5317eea4614870a7a8510fc540ec. Affected by this vulnerability is an unknown code of the file check_id.py of the component Jinja2 Template Handler. The manipulation of the argument id with an unknown input leads to a injection vulnerability. The CWE definition for the vulnerability is CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability.
The weakness was shared with StarMap Team of Legendsec at QI-ANXIN Group as 86. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-3805. The exploitation appears to be easy. Attacking locally is a requirement. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1055 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept.
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
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.0
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.3
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: InjectionCWE: CWE-74 / CWE-707 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/18/2025 🔍04/18/2025 🔍
04/21/2025 🔍
Sources
Product: github.comAdvisory: 86
Organization: StarMap Team of Legendsec at QI-ANXIN Group
Status: Not defined
CVE: CVE-2025-3805 (🔍)
GCVE (CVE): GCVE-0-2025-3805
GCVE (VulDB): GCVE-100-305659
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/18/2025 16:29Updated: 04/21/2025 13:30
Changes: 04/18/2025 16:29 (58), 04/19/2025 19:18 (30), 04/21/2025 13:30 (1)
Complete: 🔍
Submitter: ybdesire
Committer: ybdesire
Cache ID: 216::103
Submit
Accepted
- Submit #554781: sarrionandia tournatrack 0.0 Improper Neutralization of Special Elements Used in a Template E (by ybdesire)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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