Security readout for executives and security teams
Plain-English summary
Argo Events before 1.7.1 can be crashed by oversized requests to certain server endpoints. The issue affects availability, not data theft or data modification. For organizations using Argo Events in Kubernetes automation, the business risk is workflow disruption if vulnerable services are reachable.
Executive priority
Patch promptly where Argo Events supports production workflows or is network reachable. This is a high availability risk with a named fixed version, but the provided evidence does not indicate known active exploitation.
Technical view
Several HandleRoute endpoints used deprecated ioutil.ReadAll(), which reads request bodies fully into memory. A large request can exhaust memory and crash the Argo Events server. The CVSS 3.1 score is 7.5: network reachable, low complexity, no privileges, no user interaction, with high availability impact.
Likely exposure
Exposure is most likely where Argo Events versions before 1.7.1 are deployed and their server endpoints are reachable over the network. The bundle identifies argoproj/argo-events as affected, but does not enumerate all deployments, default exposure, or every endpoint path.
Exploitation context
The source bundle supports unauthenticated network denial of service through large requests. It does not show active exploitation, and KEV is false. Treat internet- or broadly reachable deployments as higher urgency because exploitation does not require credentials or user interaction.
Researcher notes
Root cause maps to CWE-400: uncontrolled resource consumption. The public advisory, issue, PR, and commit are the best sources for confirming affected code paths and patch behavior. The bundle states several HandleRoute endpoints are involved but does not list each endpoint in the provided narrative.
Mitigation direction
- Upgrade Argo Events to version 1.7.1 or later.
- Check vendor advisory and release notes before production rollout.
- Reduce network exposure to Argo Events server endpoints until upgraded.
- Monitor vulnerable deployments for crashes, restarts, and memory exhaustion.
- Prioritize affected clusters supporting production automation workflows.
Validation and detection
- Inventory deployed Argo Events versions across Kubernetes clusters.
- Confirm no argoproj/argo-events deployment remains below 1.7.1.
- Review manifests, Helm values, and container image tags for vulnerable versions.
- Identify whether Argo Events server endpoints are externally or broadly reachable.
- Correlate Argo Events restarts with memory pressure or unusual request volume.
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 lookupContainer behavior lookup
The affected technology mentions containers, so container-specific ATT&CK technique review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2022-31054 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
- High
- CVSS
- 7.5 (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:H
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:H3.93.6Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
7.5HighVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/argoproj/argo-events/security/advisories/GHSA-5q86-62xr-3r57CVE reference · x_refsource_CONFIRM
- https://github.com/argoproj/argo-events/issues/1946CVE reference · x_refsource_MISC
- https://github.com/argoproj/argo-events/pull/1966CVE reference · x_refsource_MISC
- https://github.com/argoproj/argo-events/commit/eaabcb6d65022fc34a0cc9ea7f00681abd326b35CVE reference · x_refsource_MISC
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.