CVE-2024-7708 Eclipse Foundation CVE debrief

Who should care

Users of affected software, security teams, and operators should be aware of this vulnerability and take steps to mitigate it. This includes reviewing and updating affected software to the latest version, implementing network monitoring to detect slow network conditions, and considering compensating controls for requests with bodies. Additionally, asset inventory and vulnerability management teams should review the affected scope and severity.

Technical summary

The vulnerability is related to a buffer leak in requests with bodies that may end up reading 0 bytes. This can happen particularly with 100-Continue requests or any request over a slow network. The vulnerability can lead to potential information disclosure and is considered a high priority due to its potential impact. Affected software users should review and update to the latest version, implement network monitoring, and consider compensating controls.

Defensive priority

High priority due to potential for information disclosure and impact on affected software users.

Recommended defensive actions

• Review and update affected software to the latest version.
• Implement network monitoring to detect slow network conditions.
• Consider compensating controls for requests with bodies.
• 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.

Evidence notes

The evidence for this vulnerability is limited, and further investigation is required to determine the full scope of the vulnerability. A buffer leak vulnerability exists for requests with bodies where reading may result in 0 bytes being read. This issue is particularly noted in 100-Continue requests but can occur with any request over a slow network. The CVE record was published on 2026-07-14T09:16:39.453Z and has not been modified since then. However, additional review of affected product deployments and compensating controls may be necessary.

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.