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CVE-2026-70646 vovchic17 CVE debrief

CVE-2026-70646 aiosend WebhookHandler.feed_update() JSON Deserialization Vulnerability. The aiosend library, prior to version 3.0.7, is vulnerable to a JSON deserialization issue in the WebhookHandler.feed_update() method. This allows an unauthenticated attacker to force expensive parsing of arbitrary JSON payloads, leading to unnecessary CPU and memory consumption. Defenders responsible for systems using the aiosend library, particularly those using webhook endpoints, should assess exposure and prioritize verification and remediation efforts. The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions.

Vendor
vovchic17
Product
aiosend
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-06
Original CVE updated
2026-09-18
Advisory published
2026-08-06
Advisory updated
2026-09-18

Who should care

Defenders responsible for systems using the aiosend library, particularly those using webhook endpoints, should assess exposure and prioritize verification and remediation efforts.

Why it matters

CVE-2026-70646 is a JSON deserialization vulnerability in the aiosend library that could lead to unnecessary CPU and memory consumption. Defenders should prioritize verification and remediation efforts, particularly for systems using webhook endpoints.

  • Potential for unnecessary CPU and memory consumption due to expensive parsing of arbitrary JSON payloads
  • Need for verification of aiosend version and potential upgrade to version 3.0.7 or later
  • Consideration of workarounds such as restricting request body size or rate-limiting webhook endpoints

Technical summary

The aiosend library, prior to version 3.0.7, is vulnerable to a JSON deserialization issue in the WebhookHandler.feed_update() method. This allows an unauthenticated attacker to force expensive parsing of arbitrary JSON payloads, leading to unnecessary CPU and memory consumption. The vulnerability can be mitigated by upgrading to version 3.0.7 or later, restricting request body size, rate-limiting webhook endpoints, or rejecting oversized requests before JSON parsing. The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. Defenders should prioritize verifying and upgrading to aiosend version 3.0.7 or later, and consider implementing work

Defensive priority

Defenders should prioritize verifying and upgrading to aiosend version 3.0.7 or later, and consider implementing workarounds such as restricting request body size or rate-limiting webhook endpoints.

Recommended defensive actions

  • Verify and upgrade to aiosend version 3.0.7 or later
  • Restrict request body size at the reverse proxy or web framework
  • Rate-limit webhook endpoints
  • Reject oversized requests before JSON parsing
  • 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

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. The aiosend vendor has released a fixed version (3.0.7) and provided workarounds.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-70646 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-70646

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-70646 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-70646

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.