Vulnerability-Lookup

GHSA-JGQR-HF4V-QM4Q

Vulnerability from github – Published: 2022-05-17 00:20 – Updated: 2025-04-20 03:48

Details

Web Viewer 1.0.0.193 on Samsung SRN-1670D devices suffers from an Unrestricted file upload vulnerability: 'network_ssl_upload.php' allows remote authenticated attackers to upload and execute arbitrary PHP code via a filename with a .php extension, which is then accessed via a direct request to the file in the upload/ directory. To authenticate for this attack, one can obtain web-interface credentials in cleartext by leveraging the existing Local File Read Vulnerability referenced as CVE-2015-8279, which allows remote attackers to read the web-interface credentials via a request for the cslog_export.php?path=/root/php_modules/lighttpd/sbin/userpw URI.

Severity

8.8 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2017-16524"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-434"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-11-06T08:29:00Z",
    "severity": "HIGH"
  },
  "details": "Web Viewer 1.0.0.193 on Samsung SRN-1670D devices suffers from an Unrestricted file upload vulnerability: \u0027network_ssl_upload.php\u0027 allows remote authenticated attackers to upload and execute arbitrary PHP code via a filename with a .php extension, which is then accessed via a direct request to the file in the upload/ directory. To authenticate for this attack, one can obtain web-interface credentials in cleartext by leveraging the existing Local File Read Vulnerability referenced as CVE-2015-8279, which allows remote attackers to read the web-interface credentials via a request for the cslog_export.php?path=/root/php_modules/lighttpd/sbin/userpw URI.",
  "id": "GHSA-jgqr-hf4v-qm4q",
  "modified": "2025-04-20T03:48:04Z",
  "published": "2022-05-17T00:20:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-16524"
    },
    {
      "type": "WEB",
      "url": "https://github.com/realistic-security/CVE-2017-16524"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/43138"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-16524 (GCVE-0-2017-16524)

Vulnerability from cvelistv5 – Published: 2017-11-06 08:00 – Updated: 2024-08-05 20:27

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
https://www.exploit-db.com/exploits/43138/	exploitx_refsource_EXPLOIT-DB
https://github.com/realistic-security/CVE-2017-16524	x_refsource_MISC

Date Public

2017-11-06 00:00

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JSON

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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.

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.
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GHSA-JGQR-HF4V-QM4Q

CVE-2017-16524 (GCVE-0-2017-16524)

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