Vulnerability-Lookup

CNVD-2023-63440

Vulnerability from cnvd - Published: 2023-08-15

Title

ASUS RT-AX88U web.c缓冲区溢出漏洞

Description

ASUS RT-AX88U是中国华硕（ASUS）公司的一个无线路由器。 ASUS RT-AX88U存在缓冲区溢出漏洞，该漏洞源于未能检查缓冲区输入大小，远程攻击者可利用该漏洞向包含特定用户代理的设备发送特制请求，导致httpd二进制文件在web.c内执行字符串比较期间崩溃，从而导致DoS 。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.asus.com/hk-en/networking-iot-servers/wifi-routers/asus-gaming-routers/rt-ax88u/

Reference

https://www.twcert.org.tw/tw/cp-132-7279-05760-1.html

Impacted products

Name
ASUS RT-AX88U <3.0.0.4.388.23748

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-34358",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-34358"
    }
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  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.asus.com/hk-en/networking-iot-servers/wifi-routers/asus-gaming-routers/rt-ax88u/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-63440",
  "openTime": "2023-08-15",
  "products": {
    "product": "ASUS RT-AX88U \u003c3.0.0.4.388.23748"
  },
  "referenceLink": "https://www.twcert.org.tw/tw/cp-132-7279-05760-1.html",
  "serverity": "\u9ad8",
  "submitTime": "2023-08-03",
  "title": "ASUS RT-AX88U web.c\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2023-34358 (GCVE-0-2023-34358)

Vulnerability from cvelistv5 – Published: 2023-07-31 04:09 – Updated: 2024-10-21 14:42

Title

ASUS RT-AX88U - Out-of-bounds Read - 1

Summary

ASUS RT-AX88U's httpd is subject to an unauthenticated DoS condition. A remote attacker can send a specially crafted request to a device which contains a specific user agent, causing the httpd binary to crash during a string comparison performed within web.c, resulting in a DoS condition.

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-21 14:41 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

twcert mitre root

References

1 reference

URL	Tags
https://www.twcert.org.tw/tw/cp-132-7279-05760-1.html

Impacted products

2 products

Vendor	Product	Version
ASUS	RT-AX88U	Affected: , ≤ 3.0.0.4.388_22525-gd35b8fe (custom)
asus	rt-ax88u	Affected: 0 , ≤ 3.0.0.4.388_22525-gd35b8fe (custom) cpe:2.3:h:asus:rt-ax88u:-:::::::*

Date Public

2023-07-31 01:32

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.