CVE-2026-112319: Red Hat Enterprise Linux 10 · Unthrottled Resource Allocation
Affects Red Hat Enterprise Linux 10Source CVE Database V5
Not known to be exploited · CVSS 6.5 Medium.
Data as of 9 Nov 2026, 20:47 UTC
Thin evidence
One scorer or none| CNA (redhat) | CVSS 3.1 | 6.5 |
|---|
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitation evidence
Disclosed: evidence found.
CVE published 9 Nov 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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 9 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Red Hat Enterprise Linux 10krb5 | Affected– | Fixed in– |
| Red Hat Enterprise Linux 6krb5 | Affected– | Fixed in– |
| Red Hat Enterprise Linux 7krb5 | Affected– | Fixed in– |
| Red Hat Enterprise Linux 8krb5 | Affected– | Fixed in– |
| Red Hat Enterprise Linux 9krb5 | Affected– | Fixed in– |
| Red Hat Hardened Imageskrb5 | Affected– | Fixed in– |
AI-suggested
Restrict network access to the kadmind service to trusted hosts only. Alternatively, disable kadmind and use the kadmin.local server-side command line tool for administrative tasks if feasible.
Description
CVE-2026-112319 is a vulnerability in the GSS-RPC layer of MIT Kerberos 5 used in Red Hat Enterprise Linux 10. It allows remote authenticated users to cause a denial of service by triggering unbounded memory allocations during XDR decoding of crafted RPC requests. This leads to memory exhaustion or excessive CPU consumption in the Kerberos administration daemon (kadmind). Exploitation requires valid Kerberos authentication and affects process availability without compromising data confidentiality or integrity.