CVE-2026-7017 HAARG CVE debrief

Who should care

Developers and administrators using HTTP::Tiny versions before 0.095 for Perl should be aware of this vulnerability and take steps to mitigate it. This vulnerability could potentially expose sensitive credentials to unauthorized parties.

Technical summary

The HTTP::Tiny library for Perl, versions before 0.095, does not properly handle redirects when re-merging headers. Specifically, when a 3xx redirect is encountered, the library follows the redirect and re-sends the original headers, including sensitive ones like `Authorization`, `Cookie`, and `Proxy-Authorization`, to the new location. This can lead to unintended exposure of credentials, especially in cases where the redirect target is not the same origin as the original request.

Defensive priority

High

Recommended defensive actions

• Upgrade to HTTP::Tiny version 0.095 or later
• Review and update code that uses HTTP::Tiny to ensure proper handling of redirects and sensitive headers
• Implement compensating controls, such as monitoring and filtering of sensitive headers
• Consider using alternative libraries or frameworks with built-in protections for sensitive headers
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
• Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-07T19:16:55.530Z and has not been modified since then. The NVD entry is currently Received. There is limited evidence available to confirm affected scope and severity beyond vendor statements. Defenders should verify managed environments for affected product deployments, review official advisories, and plan for vendor-supported updates or mitigations. Compensating controls should be reviewed for exposed systems while remediation is scheduled and verified.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.