Vulnerability-Lookup

GHSA-M6FH-F3MR-6PVV

Vulnerability from github – Published: 2022-05-13 01:38 – Updated: 2022-05-13 01:38

Details

The Zizai Tech Nut mobile app makes requests via HTTP instead of HTTPS. These requests contain the user's authenticated session token with the URL. An attacker can capture these requests and reuse the session token to gain full access the user's account.

Severity

9.8 (Critical)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2016-6548"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-07-13T20:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "The Zizai Tech Nut mobile app makes requests via HTTP instead of HTTPS. These requests contain the user\u0027s authenticated session token with the URL. An attacker can capture these requests and reuse the session token to gain full access the user\u0027s account.",
  "id": "GHSA-m6fh-f3mr-6pvv",
  "modified": "2022-05-13T01:38:45Z",
  "published": "2022-05-13T01:38:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-6548"
    },
    {
      "type": "WEB",
      "url": "https://blog.rapid7.com/2016/10/25/multiple-bluetooth-low-energy-ble-tracker-vulnerabilities"
    },
    {
      "type": "WEB",
      "url": "https://www.kb.cert.org/vuls/id/402847"
    },
    {
      "type": "WEB",
      "url": "https://www.securityfocus.com/bid/93877"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2016-6548 (GCVE-0-2016-6548)

Vulnerability from cvelistv5 – Published: 2018-07-13 20:00 – Updated: 2024-08-06 01:36

Title

Zizai Tech Nut mobile application makes requests using HTTP, which includes the users session token

Summary

Severity

No CVSS data available.

CWE

CWE-200 - Information Exposure

Assigner

certcc mitre root

References

3 references

URL	Tags
https://www.securityfocus.com/bid/93877	vdb-entryx_refsource_BID
https://blog.rapid7.com/2016/10/25/multiple-bluet…	x_refsource_MISC
https://www.kb.cert.org/vuls/id/402847	third-party-advisoryx_refsource_CERT-VN

Impacted products

1 product

Vendor	Product	Version
Zizai Technology	Tech Nut Mobile Application	Unknown: N/A

Date Public

2016-10-25 00:00

Credits

Thanks to Deral Heiland and Adam Compton of Rapid7, Inc. for reporting this vulnerability.

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JSON

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        "providerMetadata": {
          "dateUpdated": "2024-08-06T01:36:27.302Z",
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            "url": "https://blog.rapid7.com/2016/10/25/multiple-bluetooth-low-energy-ble-tracker-vulnerabilities/"
          },
          {
            "name": "VU#402847",
            "tags": [
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              "x_transferred"
            ],
            "url": "https://www.kb.cert.org/vuls/id/402847"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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      "title": "Zizai Tech Nut mobile application makes requests using HTTP, which includes the users session token",
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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.