CVE-2026-50192 (GCVE-0-2026-50192)
Vulnerability from cvelistv5 – Published: 2026-08-20 21:37 – Updated: 2026-08-21 14:54
VLAI
EPSS
VEX
Title
Kerberos Hub private key (X-Kerberos-Hub-PrivateKey) leaked to cross-host redirect target due to redirect-following HTTP client without CheckRedirect
Summary
Kerberos Agent is an open source video (surveillance) management agent. Prior to version 3.6.26, the Kerberos Hub upload path sends the agent's Hub credentials in the custom `X-Kerberos-Hub-PrivateKey` and `X-Kerberos-Hub-PublicKey` request headers to the operator-configured Hub URL (`config.HubURI`). The HTTP client used (`&http.Client{}` in `UploadKerberosHub`) is constructed without a `CheckRedirect` policy, so it follows HTTP redirects automatically. Go's `net/http` strips only sensitive headers (`Authorization`, `Cookie`, `WWW-Authenticate`) on a cross-host redirect; it does not strip custom headers such as `X-Kerberos-Hub-PrivateKey`. As a result, if the configured `HubURI` returns a cross-host 30x redirect, the Hub private key is forwarded verbatim to the redirect target, disclosing the credential to an unintended third party. Version 3.6.26 fixes the issue by implementing the `CheckRedirect` strip plus a cross-host regression test is provided to the maintainer through the advisory's private temporary fork.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-21 14:54 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/kerberos-io/agent/security/adv… | x_refsource_CONFIRM |
| https://github.com/kerberos-io/agent/commit/51f1a… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| kerberos-io | agent |
Affected:
< 3.6.26
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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