Vulnerability-Lookup

GHSA-M3Q7-CC99-GC97

Vulnerability from github – Published: 2022-05-17 00:33 – Updated: 2022-05-17 00:33

Details

All versions prior to V12.17.20 of the ZTE Microwave NR8000 series products - NR8120, NR8120A, NR8120, NR8150, NR8250, NR8000 TR and NR8950 are the applications of C/S architecture using the Java RMI service in which the servers use the Apache Commons Collections (ACC) library that may result in Java deserialization vulnerabilities. An unauthenticated remote attacker can exploit the vulnerabilities by sending a crafted RMI request to execute arbitrary code on the target host.

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-2017-10932"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-09-28T01:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "All versions prior to V12.17.20 of the ZTE Microwave NR8000 series products - NR8120, NR8120A, NR8120, NR8150, NR8250, NR8000 TR and NR8950 are the applications of C/S architecture using the Java RMI service in which the servers use the Apache Commons Collections (ACC) library that may result in Java deserialization vulnerabilities. An unauthenticated remote attacker can exploit the vulnerabilities by sending a crafted RMI request to execute arbitrary code on the target host.",
  "id": "GHSA-m3q7-cc99-gc97",
  "modified": "2022-05-17T00:33:51Z",
  "published": "2022-05-17T00:33:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-10932"
    },
    {
      "type": "WEB",
      "url": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1008422"
    }
  ],
  "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-2017-10932 (GCVE-0-2017-10932)

Vulnerability from cvelistv5 – Published: 2017-09-27 16:00 – Updated: 2024-09-16 22:30

Summary

Severity

No CVSS data available.

CWE

Remote Code Execution

Assigner

zte mitre root

References

1 reference

URL	Tags
http://support.zte.com.cn/support/news/LoopholeIn…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
ZTE	NR8000 Series	Affected: All versions prior to V12.17.20

Date Public

2017-09-15 00:00

Show details on NVD website

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.

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.