Vulnerability-Lookup

GHSA-72M3-3P32-PW2Q

Vulnerability from github – Published: 2022-01-19 00:01 – Updated: 2022-01-25 00:02

Details

China Mobile An Lianbao WF-1 V1.0.1 router provides a web interface /api/ZRRuleFilter/set_firewall_level which receives parameters by POST request, and the parameter firewall_level has a command injection vulnerability. An attacker can use the vulnerability to execute remote commands.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-33964"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-77"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-18T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "China Mobile An Lianbao WF-1 V1.0.1 router provides a web interface /api/ZRRuleFilter/set_firewall_level which receives parameters by POST request, and the parameter firewall_level has a command injection vulnerability. An attacker can use the vulnerability to execute remote commands.",
  "id": "GHSA-72m3-3p32-pw2q",
  "modified": "2022-01-25T00:02:35Z",
  "published": "2022-01-19T00:01:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-33964"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pokerfacett/MY_CVE_CREDIT/blob/master/China%20Mobile%20An%20Lianbao%20WF-1%20router%20Command%20Injection11.md"
    },
    {
      "type": "WEB",
      "url": "https://www.cnvd.org.cn/flaw/show/CNVD-2021-03520"
    },
    {
      "type": "WEB",
      "url": "https://www.ebuy7.com/item/china-mobile-wireless-router-qualcomm-qiki-wifi6-routing-mesh-network-home-5g-dual-frequency-double-gigabit-port-wall-wall-high-speed-%E2%80%8B%E2%80%8Bhigh-power-enhanced-dormitory-students-an-lianbao-wf-1-628692180620"
    },
    {
      "type": "WEB",
      "url": "http://iot.10086.cn/?l=en-us"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2021-33964 (GCVE-0-2021-33964)

Vulnerability from cvelistv5 – Published: 2022-01-18 11:26 – Updated: 2024-08-04 00:05

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2339 records in the last 180 days details

References

4 references

URL	Tags
https://www.ebuy7.com/item/china-mobile-wireless-…	x_refsource_MISC
http://iot.10086.cn/?l=en-us	x_refsource_MISC
https://www.cnvd.org.cn/flaw/show/CNVD-2021-03520	x_refsource_MISC
https://github.com/pokerfacett/MY_CVE_CREDIT/blob…	x_refsource_MISC

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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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