Vulnerability-Lookup

CNVD-2017-16344

Vulnerability from cnvd - Published: 2017-07-24

Title

Foscam IP Video Camera栈缓冲区溢出漏洞

Description

Foscam IP Video Camera是中国福斯康姆（Foscam）公司的一款无线高清IP摄像机。 Foscam IP Video Camera中的Web管理界面存在栈缓冲区溢出漏洞。攻击者可通过向设备发送HTTP请求利用该漏洞覆盖任意栈帧上的数据。

Severity

高

Patch Name

Foscam IP Video Camera栈缓冲区溢出漏洞的补丁

Patch Description

Foscam IP Video Camera是中国福斯康姆（Foscam）公司的一款无线高清IP摄像机。 Foscam IP Video Camera中的Web管理界面存在栈缓冲区溢出漏洞。攻击者可通过向设备发送HTTP请求利用该漏洞覆盖任意栈帧上的数据。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

目前厂商已发布升级补丁以修复漏洞，详情请关注厂商主页： http://www.foscam.com/

Reference

https://www.talosintelligence.com/vulnerability_reports/TALOS-2017-0299

Impacted products

Name
Foscam IP Video Camera 1.9.3.17

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "99190"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2017-2805"
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  "discovererName": "Claudio Bozzato and another member of Cisco Talos",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-16344",
  "openTime": "2017-07-24",
  "patchDescription": "Foscam IP Video Camera\u662f\u4e2d\u56fd\u798f\u65af\u5eb7\u59c6\uff08Foscam\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u65e0\u7ebf\u9ad8\u6e05IP\u6444\u50cf\u673a\u3002 \r\n\r\nFoscam IP Video Camera\u4e2d\u7684Web\u7ba1\u7406\u754c\u9762\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411\u8bbe\u5907\u53d1\u9001HTTP\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u8986\u76d6\u4efb\u610f\u6808\u5e27\u4e0a\u7684\u6570\u636e\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": "Foscam IP Video Camera\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Foscam IP Video Camera 1.9.3.17"
  },
  "referenceLink": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2017-0299",
  "serverity": "\u9ad8",
  "submitTime": "2017-06-22",
  "title": "Foscam IP Video Camera\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-2805 (GCVE-0-2017-2805)

Vulnerability from cvelistv5 – Published: 2017-06-21 13:00 – Updated: 2024-08-05 14:02

Summary

An exploitable stack-based buffer overflow vulnerability exists in the web management interface used by the Foscam C1 Indoor HD Camera. A specially crafted http request can cause a stack-based buffer overflow resulting in overwriting arbitrary data on the stack frame. An attacker can simply send an http request to the device to trigger this vulnerability.

Severity

9.8 (Critical)


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

CWE

remote code execution

Assigner

talos mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/99190	vdb-entryx_refsource_BID
https://www.talosintelligence.com/vulnerability_r…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Foscam	Indoor IP Camera C1 Series	Affected: n/a

Date Public

2017-06-19 00:00

Show details on NVD website

JSON

To clipboard

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            "baseScore": 9.8,
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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.