Vulnerability-Lookup

CNVD-2020-44605

Vulnerability from cnvd - Published: 2020-08-06

Title

Teltonika TRB245不当输入验证漏洞（CNVD-2020-44605）

Description

Teltonika TRB245是立陶宛Teltonika公司的一款蜂窝网络网关产品。 Teltonika TRB245的固件TRB2_R_00.02.04.01存在不当输入验证漏洞。远程攻击者可借助恶意的备份压缩文件利用该漏洞获取root权限。

Severity

高

Patch Name

Teltonika TRB245不当输入验证漏洞（CNVD-2020-44605）的补丁

Patch Description

Teltonika TRB245是立陶宛Teltonika公司的一款蜂窝网络网关产品。 Teltonika TRB245的固件TRB2_R_00.02.04.01存在不当输入验证漏洞。远程攻击者可借助恶意的备份压缩文件利用该漏洞获取root权限。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://teltonika-networks.com/product/trb245/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-5771

Impacted products

Name
Teltonika TRB245 TRB2_R_00.02.04.01

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5771",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-5771"
    }
  },
  "description": "Teltonika TRB245\u662f\u7acb\u9676\u5b9bTeltonika\u516c\u53f8\u7684\u4e00\u6b3e\u8702\u7a9d\u7f51\u7edc\u7f51\u5173\u4ea7\u54c1\u3002\n\nTeltonika TRB245\u7684\u56fa\u4ef6TRB2_R_00.02.04.01\u5b58\u5728\u4e0d\u5f53\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684\u5907\u4efd\u538b\u7f29\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6root\u6743\u9650\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://teltonika-networks.com/product/trb245/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-44605",
  "openTime": "2020-08-06",
  "patchDescription": "Teltonika TRB245\u662f\u7acb\u9676\u5b9bTeltonika\u516c\u53f8\u7684\u4e00\u6b3e\u8702\u7a9d\u7f51\u7edc\u7f51\u5173\u4ea7\u54c1\u3002\r\n\r\nTeltonika TRB245\u7684\u56fa\u4ef6TRB2_R_00.02.04.01\u5b58\u5728\u4e0d\u5f53\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684\u5907\u4efd\u538b\u7f29\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6root\u6743\u9650\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Teltonika TRB245\u4e0d\u5f53\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\uff08CNVD-2020-44605\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Teltonika TRB245 TRB2_R_00.02.04.01"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5771",
  "serverity": "\u9ad8",
  "submitTime": "2020-08-04",
  "title": "Teltonika TRB245\u4e0d\u5f53\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\uff08CNVD-2020-44605\uff09"
}

CVE-2020-5771 (GCVE-0-2020-5771)

Vulnerability from cvelistv5 – Published: 2020-08-03 19:58 – Updated: 2024-08-04 08:39

Summary

Improper Input Validation in Teltonika firmware TRB2_R_00.02.04.01 allows a remote, authenticated attacker to gain root privileges by uploading a malicious backup archive.

Severity

No CVSS data available.

CWE

Inadequate Validation of Backup Archive Files

Assigner

tenable mitre root

References

1 reference

URL	Tags
https://www.tenable.com/security/research/tra-2020-48	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Teltonika Gateway TRB245	Affected: TRB2_R_00.02.04.01 firmware

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-04T08:39:25.772Z",
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              "x_transferred"
            ],
            "url": "https://www.tenable.com/security/research/tra-2020-48"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Teltonika Gateway TRB245",
          "vendor": "n/a",
          "versions": [
            {
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            {
              "description": "Inadequate Validation of Backup Archive Files",
              "lang": "en",
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            "x_refsource_MISC"
          ],
          "url": "https://www.tenable.com/security/research/tra-2020-48"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "vulnreport@tenable.com",
          "ID": "CVE-2020-5771",
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        },
        "affects": {
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            "vendor_data": [
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                    {
                      "product_name": "Teltonika Gateway TRB245",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "TRB2_R_00.02.04.01 firmware"
                          }
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                      }
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  "cveMetadata": {
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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.