Vulnerability-Lookup

(CVE-2021-3121)

Vulnerability from cleanstart – Published: 2026-09-18 10:19 – Updated: 2026-10-08 18:47 – Source website

Summary

Security fix for CVE-2021-3121 applied in: cluster-proportional-autoscaler 1.7.1-r0

Details

Security vulnerability affects the cluster-proportional-autoscaler package. This issue is resolved in later releases. See references for vulnerability details.

Severity

8.6 (High)


                    
                      CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H

References

URL

Type

	https://github.com/cleanstart-dev/cleanstart-secu…	ADVISORY
	https://osv.dev/vulnerability/CVE-2021-3121	WEB
	https://nvd.nist.gov/vuln/detail/CVE-2021-3121	WEB

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "CleanStart",
        "name": "cluster-proportional-autoscaler",
        "purl": "pkg:apk/cleanstart/cluster-proportional-autoscaler"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.7.1-r0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "credits": [],
  "database_specific": {},
  "details": "Security vulnerability affects the cluster-proportional-autoscaler package. This issue is resolved in later releases. See references for vulnerability details.",
  "id": "CLEANSTART-2026-DT87304",
  "modified": "2026-10-08T18:47:25Z",
  "published": "2026-09-18T10:19:24.172717Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/cleanstart-dev/cleanstart-security-advisories/tree/main/advisories/2026/CLEANSTART-2026-DT87304.json"
    },
    {
      "type": "WEB",
      "url": "https://osv.dev/vulnerability/CVE-2021-3121"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3121"
    }
  ],
  "related": [],
  "schema_version": "1.7.3",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Security fix for CVE-2021-3121 applied in: cluster-proportional-autoscaler 1.7.1-r0",
  "upstream": [
    "CVE-2021-3121"
  ]
}

CVE-2021-3121 (GCVE-0-2021-3121)

Vulnerability from cvelistv5 – Published: 2021-01-11 05:57 – Updated: 2024-08-03 16:45

Summary

An issue was discovered in GoGo Protobuf before 1.3.2. plugin/unmarshal/unmarshal.go lacks certain index validation, aka the "skippy peanut butter" issue.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 27/100 over 2305 records in the last 180 days details

References

7 references

URL	Tags
https://github.com/gogo/protobuf/commit/b03c65ea8…	x_refsource_MISC
https://github.com/gogo/protobuf/compare/v1.3.1..…	x_refsource_MISC
https://lists.apache.org/thread.html/r88d69555cb7…	mailing-listx_refsource_MLIST
https://lists.apache.org/thread.html/rc1e9ff22c56…	mailing-listx_refsource_MLIST
https://security.netapp.com/advisory/ntap-2021021…	x_refsource_CONFIRM
https://discuss.hashicorp.com/t/hcsec-2021-23-con…	x_refsource_MISC
https://lists.apache.org/thread.html/r68032132c03…	mailing-listx_refsource_MLIST

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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