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CVE-2026-34993VulnerabilityPublished Updated

Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.3.6 enhancement update

Affects Red HatSource GCVE Database

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Authoritative record:CVE-2026-34993· Medium 6.4

Not known to be exploited · CVSS 6.4 Medium : upgrade Red Hat aiohttp to 3.14.0 when convenient.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
6.4Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 7% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.14.0
CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:C/C:L/I:H/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade aiohttp to 3.14.0.

Affected software

ProductAffectedFixed in
aio-libsaiohttpAffected
  • <3.14.0
Fixed in
  • 3.14.0
PyPIaiohttppkg:pypi/aiohttpOther threatsAffected
  • <3.14.0
Fixed in
  • 3.14.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Applications using AIOHTTP that load untrusted files via the CookieJar.load() function should implement input sanitization before loading to prevent arbitrary code execution.

Description

A security flaw exists in the AIOHTTP Python asynchronous HTTP framework used in Red Hat Enterprise Linux AI 3.3.6. The vulnerability arises from the CookieJar.load() function, which can be exploited by providing untrusted input, potentially leading to arbitrary code execution. Exploitation requires the application to be configured to load attacker-controlled files, which is not common in default Red Hat deployments. This update provides new container disk images for Red Hat Enterprise Linux AI 3.3.6 but does not include a fix for this vulnerability.

References

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