Security readout for executives and security teams
Plain-English summary
CVE-2023-6681 is a denial-of-service issue in JWCrypto handling of specially crafted JWE input. An unauthenticated network attacker could force affected systems to spend excessive computation, reducing availability. The public bundle does not show data theft or integrity impact.
Executive priority
Treat this as a moderate availability risk. Patch during normal vulnerability remediation cycles, faster for exposed authentication or identity services. It does not currently justify emergency response unless critical services process untrusted JWE input.
Technical view
The flaw is categorized as CWE-400, uncontrolled resource consumption. CVSS 3.1 is 5.3 with network access, low attack complexity, no privileges, and availability impact only. Red Hat lists affected RHEL 8 IdM module packages and RHEL 9 python-jwcrypto.
Likely exposure
Exposure is most likely where affected Red Hat systems process untrusted JWE data through JWCrypto, especially identity or authentication-related services. Red Hat Ansible Automation Platform 2 automation-controller is listed as unaffected; RHEL 7 python-jwcrypto status is unknown in the bundle.
Exploitation context
The provided sources do not state active exploitation, and KEV is false. The described impact is resource exhaustion from crafted JWE input, not code execution or privilege escalation. Public evidence in the bundle is limited to vendor advisories, CVE records, and issue tracking.
Researcher notes
Key gaps: the bundle does not provide exploit telemetry, fixed package versions, or detailed parser behavior. Avoid assuming all JWCrypto deployments are reachable. Validate exposure by package presence plus application data flow, not package inventory alone.
Mitigation direction
- Apply Red Hat updates from RHSA-2024:3267 and RHSA-2024:9281 where applicable.
- Prioritize internet-facing services that parse JWE data with JWCrypto.
- Check Red Hat CVE guidance for RHEL 7 because status is unknown.
- Confirm Ansible Automation Platform 2 automation-controller is not treated as affected.
- Monitor vendor advisories for any additional upstream JWCrypto remediation guidance.
Validation and detection
- Inventory RHEL 8 IdM module and RHEL 9 python-jwcrypto installations.
- Compare installed packages against Red Hat advisory applicability.
- Identify applications accepting untrusted JWE input on affected hosts.
- Review availability monitoring for unexplained CPU spikes or service degradation.
- Document unaffected and unknown assets separately for follow-up.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-400: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCredential and access behavior lookup
The CVE wording references authentication or credential exposure, so valid-account and credential-access review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2023-6681 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Medium
- CVSS
- 5.3 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L3.91.4Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
5.3MediumVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Source materials
- CVE List V5 sourceCVE List V5
- RHSA-2024:3267CVE reference · vendor-advisory, x_refsource_REDHAT
- RHSA-2024:9281CVE reference · vendor-advisory, x_refsource_REDHAT
- https://access.redhat.com/security/cve/CVE-2023-6681CVE reference · vdb-entry, x_refsource_REDHAT
- RHBZ#2260843CVE reference · issue-tracking, x_refsource_REDHAT
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.