Description

openssl_encrypt versions before 1.4.0 contain hardcoded default JWT signing secrets in config.py that pass validation checks. Attackers with access to source code can forge valid JWT tokens for any client_id to gain authenticated access to keyserver and telemetry APIs.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "8.8",
  "pubDate": "2026-08-17T11:16:44.397Z",
  "pubdate": "2026-08-17T11:16:44.397Z",
  "executiveSummary": "A hardcoded cryptographic secret vulnerability exists in openssl_encrypt versions prior to 1.4.0, specifically located within the configuration component config.py. The flaw involves the utilization of static, default JSON Web Token (JWT) signing secrets that successfully pass cryptographic validation checks across the application.\nThe primary impact of this security deficiency is unauthorized authentication bypass and privilege escalation. An attacker possessing access to the source code can extract the embedded signing secret and leverage it to cryptographically forge valid JWT tokens for any arbitrary client_id. This permits malicious actors to masquerade as legitimate entities and gain fully authenticated access to sensitive keyserver and telemetry APIs without possessing valid credentials.\nThe affected product is openssl_encrypt prior to version 1.4.0. The risk implications are severe, as successful exploitation compromises the confidentiality and integrity of backend API services. Attacker capabilities require prior access to the application source code to retrieve the hardcoded secret, after which remote exploitation against the target APIs becomes feasible. No complex exploitation requirements beyond token forgery are necessary once the secret is acquired.",
  "technicalDetails": "The root cause of the vulnerability resides in the insecure practice of hardcoding cryptographic key material directly into the application source code, specifically within the config.py file of openssl_encrypt versions prior to 1.4.0. Cryptographic signing keys utilized for JWT generation and validation must dynamically load from secure, externalized environment variables or dedicated secrets management systems rather than residing as static strings within repository files.\nThe vulnerable component is the JWT validation and signing mechanism implemented within the openssl_encrypt architecture. Because the application relies on a predictable, statically defined secret key for HMAC or asymmetric signature verification, any entity with read access to the source code repository can inspect config.py and extract the signing key.\nThe attack flow proceeds as follows: First, an attacker obtains access to the source code of the openssl_encrypt application, either through repository exposure, insider access, or auxiliary supply chain compromises. Second, the attacker locates config.py and extracts the hardcoded JWT signing secret. Third, utilizing the compromised secret, the attacker crafts a forged JWT payload, manually defining claims such as the client_id to target specific accounts or administrative privileges. Fourth, the attacker signs the forged token using the extracted secret key, ensuring that the cryptographic signature matches what the backend validation logic expects. Finally, the attacker transmits the forged JWT within the authorization headers of HTTP requests directed at keyserver and telemetry APIs. Upon receipt, the vulnerable server executes validation checks, successfully verifies the cryptographic signature against the hardcoded secret, and grants authenticated access to the protected endpoints.\nAuthentication requirements are effectively bypassed through this cryptographic forgery, as the server treats the attacker-generated token as entirely legitimate. Privilege requirements are flexible from the perspective of the application logic, as the forged token can specify elevated client_id values or administrative privileges depending on the implementation schema of the telemetry and keyserver APIs. Network exposure involves any interface exposing the keyserver and telemetry APIs to clients, allowing remote interaction once a valid or forged token is presented. The post-exploitation impact includes unauthorized data exfiltration from telemetry systems, potential compromise of cryptographic keys managed by the keyserver API, and complete loss of session integrity across affected application components."
}