AIDotNet OpenDeepWiki up to 2.0.6 JWT Signing Key appsettings.json hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.78 |
Summary
A vulnerability was found in AIDotNet OpenDeepWiki up to 2.0.6. It has been classified as critical. This vulnerability affects unknown code of the file appsettings.json of the component JWT Signing Key. This manipulation causes hard-coded credentials. This vulnerability is handled as CVE-2026-119597. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in AIDotNet OpenDeepWiki up to 2.0.6. It has been declared as critical. Affected by this vulnerability is an unknown code block of the file appsettings.json of the component JWT Signing Key. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. The CWE definition for the vulnerability is CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
OpenDeepWiki through 2.0.6 contains a hard-coded JWT signing key vulnerability that allows unauthenticated attackers to forge administrator tokens using the publicly known Jwt:SecretKey in appsettings.json. Attackers can mint HS256 bearer tokens with an Admin role claim to access /api/admin endpoints and control users, roles, repositories, settings, and API keys.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-119597 since 10/30/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/30/2026). The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
By approaching the search of inurl:appsettings.json it is possible to find vulnerable targets with Google Hacking.
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
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: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒
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: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Google Hack: 🔒
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
10/30/2026 Advisory disclosed10/30/2026 CVE reserved
10/30/2026 VulDB entry created
10/30/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CNA: VulnCheck
CVE: CVE-2026-119597 (🔒)
GCVE (CVE): GCVE-0-2026-119597
GCVE (VulDB): GCVE-100-429091
Entry
Created: 10/30/2026 14:34Changes: 10/30/2026 14:34 (76)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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