Zylon PrivateGPT up to 0.6.2 settings.yaml allow_origins cross-domain policy
Summary
A vulnerability marked as problematic has been reported in Zylon PrivateGPT up to 0.6.2. This issue affects some unknown processing of the file settings.yaml. Performing a manipulation of the argument allow_origins results in cross-domain policy. This vulnerability is known as CVE-2025-4515. Remote exploitation of the attack is possible. Furthermore, an exploit is available. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability, which was classified as problematic, was found in Zylon PrivateGPT up to 0.6.2. This affects an unknown code of the file settings.yaml. The manipulation of the argument allow_origins with an unknown input leads to a cross-domain policy vulnerability. CWE is classifying the issue as CWE-942. The product uses a cross-domain policy file that includes domains that should not be trusted. This is going to have an impact on integrity.
The weakness was published by Jiacheng Gavin Zhong and Zhengyu Liu with Johns Hopkins University. It is possible to read the advisory at gist.github.com. The public release has been coordinated with Zylon. This vulnerability is uniquely identified as CVE-2025-4515. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known.
A public exploit has been developed by Jiacheng Gavin Zhong. The exploit is shared for download at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
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
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: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 4.3
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 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: Cross-domain policyCWE: CWE-942 / CWE-346 / CWE-345
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Author: Jiacheng Gavin Zhong
Download: 🔒
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
05/09/2025 Advisory disclosed05/09/2025 VulDB entry created
05/10/2025 VulDB entry last update
Sources
Advisory: gist.github.comResearcher: Jiacheng Gavin Zhong, Zhengyu Liu
Organization: Johns Hopkins University
Status: Not defined
Coordinated: 🔒
CVE: CVE-2025-4515 (🔒)
GCVE (CVE): GCVE-0-2025-4515
GCVE (VulDB): GCVE-100-308235
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/09/2025 16:59Updated: 05/10/2025 23:21
Changes: 05/09/2025 16:59 (56), 05/09/2025 23:52 (4), 05/10/2025 23:21 (30)
Complete: 🔍
Submitter: Gavin Zhong
Committer: Gavin Zhong
Cache ID: 216::103
Submit
Accepted
- Submit #564451: PrivateGPT 0.6.2 CWE-942: Permissive Cross-domain Policy with Untrusted Domains (by Gavin Zhong)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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