Thermo Fisher Torrent Suite Django Application 5.18.1 Django ORM API default credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.3 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Thermo Fisher Torrent Suite Django Application 5.18.1. This vulnerability affects unknown code of the component Django ORM API. This manipulation causes default credentials. This vulnerability is registered as CVE-2025-54303. No exploit is available.
Details
A vulnerability classified as problematic was found in Thermo Fisher Torrent Suite Django Application 5.18.1. Affected by this vulnerability is some unknown functionality of the component Django ORM API. The manipulation with an unknown input leads to a default credentials vulnerability. The CWE definition for the vulnerability is CWE-1392. The product uses default credentials (such as passwords or cryptographic keys) for potentially critical functionality. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
The Thermo Fisher Torrent Suite Django application 5.18.1 has weak default credentials, which are stored as fixtures for the Django ORM API. The ionadmin user account can be used to authenticate to default deployments with the password ionadmin. The user guide recommends changing default credentials; however, a password change policy for default administrative accounts is not enforced. Many deployments may retain default credentials, in which case an attacker is likely to be able to successfully authenticate with administrative privileges.
It is possible to read the advisory at thermofisher.com. This vulnerability is known as CVE-2025-54303 since 07/18/2025. The exploitation appears to be easy. The exploitation requires an enhanced level of successful authentication. The technical details are unknown and an exploit is not publicly available.
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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Default credentialsCWE: CWE-1392
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
07/18/2025 CVE reserved12/04/2025 Advisory disclosed
12/04/2025 VulDB entry created
12/04/2025 VulDB entry last update
Sources
Advisory: thermofisher.comStatus: Not defined
CVE: CVE-2025-54303 (🔒)
GCVE (CVE): GCVE-0-2025-54303
GCVE (VulDB): GCVE-100-334315
Entry
Created: 12/04/2025 17:38Changes: 12/04/2025 17:38 (53)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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