PatchSiren cyber security CVE debrief
CVE-2026-16317 AWS CVE debrief
CVE-2026-16317 is a validation issue in s2n-tls that allows an active man-in-the-middle to silently discard individual application data records without either endpoint detecting the modification. This issue affects all TLS 1.3 connections, impacting both TLS clients and servers. The vulnerability stems from the AEAD implementation hardcoding the outer content_type value in the additional authenticated data rather than using the actual wire byte.
- Vendor
- AWS
- Product
- s2n-tls
- CVSS
- HIGH 8.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-21
- Original CVE updated
- 2026-07-22
- Advisory published
- 2026-07-21
- Advisory updated
- 2026-07-22
Who should care
Organizations using s2n-tls for TLS 1.3 connections should be aware of this vulnerability and take steps to mitigate it. This includes upgrading to version v1.7.6 of s2n-tls. The vulnerability can lead to request/response desynchronization in HTTP pipelining scenarios and undetectable data loss in write-heavy workloads.
Technical summary
The s2n-tls library fails to validate the outer content_type byte on TLS 1.3 encrypted records. According to RFC 8446 Section 5.2, the outer content_type of all encrypted TLS 1.3 records must be application_data (0x17). However, the s2n-tls AEAD implementation hardcodes this value in the additional authenticated data rather than using the actual wire byte. This enables selective suppression of application data. The vulnerability affects all TLS 1.3 connections, impacting both clients and servers. TLS 1.2 and QUIC connections are not affected.
Defensive priority
High priority should be given to upgrading s2n-tls to version v1.7.6. Additionally, organizations should monitor their systems for any suspicious activity related to this vulnerability.
Recommended defensive actions
- Upgrade s2n-tls to version v1.7.6
- Monitor systems for suspicious activity
- Review and update security configurations for TLS 1.3 connections
- 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
- Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
Evidence notes
The CVE record was published on 2026-07-21T21:16:49.060Z and was last modified on 2026-07-22T20:37:38.603Z. The NVD entry is currently Awaiting Analysis. This issue affects all TLS 1.3 connections, impacting both TLS clients and servers. The vulnerability stems from the AEAD implementation hardcoding the outer content_type value in the additional authenticated data rather than using the actual wire byte. Organizations should verify their systems for any suspicious activity related to this vulnerability. The CVE record and NVD entry provide further details on the vulnerability.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-16317 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-16317
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-16317 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-16317
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://aws.amazon.com/security/security-bulletins/2026-062-aws/
ff89ba41-3aa1-4d27-914a-91399e9639e5
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Source reference
Unverified legacy reference
URL: https://github.com/aws/s2n-tls/releases/tag/v1.7.6
ff89ba41-3aa1-4d27-914a-91399e9639e5
-
Source reference
Unverified legacy reference
URL: https://github.com/aws/s2n-tls/security/advisories/GHSA-684c-v35q-fvx7
ff89ba41-3aa1-4d27-914a-91399e9639e5
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.