Vulnerability-Lookup

GHSA-JFRW-3J8Q-2C86

Vulnerability from github – Published: 2022-05-13 01:53 – Updated: 2022-05-13 01:53

Details

Some Huawei products IPS Module V500R001C50; NGFW Module V500R001C50; V500R002C10; NIP6300 V500R001C50; NIP6600 V500R001C50; NIP6800 V500R001C50; Secospace USG6600 V500R001C50; USG9500 V500R001C50 have a memory leak vulnerability. The software does not release allocated memory properly when processing Protal questionnaire. A remote attacker could send a lot questionnaires to the device, successful exploit could cause the device to reboot since running out of memory.

Severity

7.5 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2018-7994"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-772"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-07-31T14:29:00Z",
    "severity": "HIGH"
  },
  "details": "Some Huawei products IPS Module V500R001C50; NGFW Module V500R001C50; V500R002C10; NIP6300 V500R001C50; NIP6600 V500R001C50; NIP6800 V500R001C50; Secospace USG6600 V500R001C50; USG9500 V500R001C50 have a memory leak vulnerability. The software does not release allocated memory properly when processing Protal questionnaire. A remote attacker could send a lot questionnaires to the device, successful exploit could cause the device to reboot since running out of memory.",
  "id": "GHSA-jfrw-3j8q-2c86",
  "modified": "2022-05-13T01:53:28Z",
  "published": "2022-05-13T01:53:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-7994"
    },
    {
      "type": "WEB",
      "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180704-01-firewall-en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2018-7994 (GCVE-0-2018-7994)

Vulnerability from cvelistv5 – Published: 2018-07-31 14:00 – Updated: 2024-08-05 06:37

Summary

Severity

No CVSS data available.

CWE

memory leak

Assigner

huawei mitre root

References

1 reference

URL	Tags
http://www.huawei.com/en/psirt/security-advisorie…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Huawei Technologies Co., Ltd.	NGFW Module; NIP6300; NIP6600; NIP6800; Secospace USG6600; USG9500	Affected: IPS Module V500R001C50 Affected: NGFW Module V500R001C50 Affected: V500R002C10 Affected: NIP6300 V500R001C50 Affected: NIP6600 V500R001C50 Affected: NIP6800 V500R001C50 Affected: Secospace USG6600 V500R001C50 Affected: USG9500 V500R001C50

Date Public

2018-07-04 00:00

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          "dateUpdated": "2024-08-05T06:37:59.640Z",
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          {
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              "x_transferred"
            ],
            "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180704-01-firewall-en"
          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
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            },
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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.

Detection rules are retrieved from Rulezet.

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.