CVE-2017-17201 (GCVE-0-2017-17201)

Vulnerability from cvelistv5 – Published: 2018-02-15 16:00 – Updated: 2024-08-05 20:44
VLAI
Summary
Some huawei smartphones with software BTV-DL09C233B350, Berlin-L21HNC432B360, Berlin-L22HNC636B360, Berlin-L24HNC567B360, Berlin-L21C10B130, Berlin-L21C185B132, Berlin-L21C464B130, Berlin-L22C346B140, Berlin-L22C636B160, Berlin-L23C605B131, Berlin-L23DOMC109B160, MHA-AL00AC00B125 have a DoS vulnerability. Due to insufficient input validation, an attacker could trick a user to execute a malicious application, which could be exploited by attacker to launch DoS attacks.
Severity
5.5 (Medium)
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CWE
  • DoS
Assigner
huawei CNA under the mitre root
CNA scorecard D 57/100 over 60 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
Huawei Technologies Co., Ltd. BTV-EMUI5.0,Berlin-EMUI5.0,Berlin-L21,Berlin-L22,Berlin-L23,MHA-AL00A Affected: BTV-DL09C233B350, Berlin-L21HNC432B360, Berlin-L22HNC636B360, Berlin-L24HNC567B360, Berlin-L21C10B130, Berlin-L21C185B132, Berlin-L21C464B130, Berlin-L22C346B140, Berlin-L22C636B160, Berlin-L23C605B131, Berlin-L23DOMC109B160, MHA-AL00AC00B125
guessed Create a notification for this product.
Date Public
2018-01-24 00:00
Show details on NVD website
To clipboard 

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        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Some huawei smartphones with software BTV-DL09C233B350, Berlin-L21HNC432B360, Berlin-L22HNC636B360, Berlin-L24HNC567B360, Berlin-L21C10B130, Berlin-L21C185B132, Berlin-L21C464B130, Berlin-L22C346B140, Berlin-L22C636B160, Berlin-L23C605B131, Berlin-L23DOMC109B160, MHA-AL00AC00B125 have a DoS vulnerability. Due to insufficient input validation, an attacker could trick a user to execute a malicious application, which could be exploited by attacker to launch DoS attacks."
          },
          {
            "lang": "es",
            "value": "Algunos smartphones Huawei con software BTV-DL09C233B350, Berlin-L21HNC432B360, Berlin-L22HNC636B360, Berlin-L24HNC567B360, Berlin-L21C10B130, Berlin-L21C185B132, Berlin-L21C464B130, Berlin-L22C346B140, Berlin-L22C636B160, Berlin-L23C605B131, Berlin-L23DOMC109B160 y MHA-AL00AC00B125 tienen una vulnerabilidad de DoS. Dada la validaci\u00f3n insuficiente de entradas, un atacante podr\u00eda enga\u00f1ar a un usuario para que ejecute una aplicaci\u00f3n maliciosa, que podr\u00eda ser aprovechada para iniciar ataques de denegaci\u00f3n de servicio."
          }
        ],
        "id": "CVE-2017-17201",
        "lastModified": "2024-11-21T03:17:40.330",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
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                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 4.3,
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 8.6,
              "impactScore": 2.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
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          ],
          "cvssMetricV30": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
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                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "REQUIRED",
                "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
                "version": "3.0"
              },
              "exploitabilityScore": 1.8,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
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          ]
        },
        "published": "2018-02-15T16:29:02.627",
        "references": [
          {
            "source": "psirt@huawei.com",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180124-01-dos-en"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180124-01-dos-en"
          }
        ],
        "sourceIdentifier": "psirt@huawei.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-20"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.



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.