CVE-2026-5190

April 1, 2026, 2:23 p.m.

7.7
High

Description

Out-of-bounds write in the streaming decoder component in aws-c-event-stream before 0.6.0 might allow a third party operating a server to cause memory corruption leading to arbitrary code execution on a client application that processes crafted event-stream messages. To remediate this issue, users should upgrade to version 0.6.0 or later.

Product(s) Impacted

Vendor Product Versions
Aws
  • Aws-c-event-stream
  • <0.6.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a aws aws-c-event-stream <0.6.0 / / / / / / /

References

https://aws.amazon.com/security/security-bulletins/2026-011-aws/
https://github.com/awslabs/aws-c-event-stream/releases/tag/v0.6.0
https://github.com/awslabs/aws-c-event-stream/security/advisories/GHSA-xvjw-fjq5-68hf

Tags

CWE-787
ff89ba41-3aa1-4d27-914a-91399e9639e5
2026-03-31
CVE-2026-5190

CVSS Score

7.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 31, 2026, 6:16 p.m.
Last Modified: April 1, 2026, 2:23 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

ff89ba41-3aa1-4d27-914a-91399e9639e5

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.