Vulnerability-Lookup

GHSA-WCR9-X4HR-9WQV

Vulnerability from github – Published: 2025-10-15 03:30 – Updated: 2025-10-15 15:30

Details

BYTEVALUE Intelligent Flow Control Router contains a command injection vulnerability via the /goform/webRead/open endpoint. The path parameter is not properly validated and is echoed into a shell context, allowing an attacker to inject and execute arbitrary shell commands on the device. Successful exploitation can lead to writing backdoors, privilege escalation on the host, and full compromise of the router and its management functions. VulnCheck has observed this vulnerability being targeted by the Rondo botnet.

Severity

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

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{
  "affected": [],
  "aliases": [
    "CVE-2023-7311"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-15T02:15:32Z",
    "severity": "CRITICAL"
  },
  "details": "BYTEVALUE Intelligent Flow Control Router contains a command injection vulnerability via the /goform/webRead/open endpoint.\u00a0The `path` parameter is not properly validated and is echoed into a shell context, allowing an attacker to inject and execute arbitrary shell commands on the device. Successful exploitation can lead to writing backdoors, privilege escalation on the host, and full compromise of the router and its management functions.\u00a0VulnCheck has observed this vulnerability being targeted by the Rondo botnet.",
  "id": "GHSA-wcr9-x4hr-9wqv",
  "modified": "2025-10-15T15:30:27Z",
  "published": "2025-10-15T03:30:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-7311"
    },
    {
      "type": "WEB",
      "url": "https://blog.csdn.net/zkaqlaoniao/article/details/134328873"
    },
    {
      "type": "WEB",
      "url": "https://github.com/adysec/nuclei_poc/blob/49c283b2bbb244c071786a2b768fbdde1b91f38e/poc/web/bytevalue_goform_webread_open_rce.yaml"
    },
    {
      "type": "WEB",
      "url": "https://isc.sans.edu/diary/Exploit+against+Unnamed+Bytevalue+router+vulnerability+included+in+Mirai+Bot/30642"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/bytevalue-intelligent-flow-control-router-command-injection"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2023-7311 (GCVE-0-2023-7311)

Vulnerability from cvelistv5 – Published: 2025-10-15 01:19 – Updated: 2025-10-15 20:04 X_Known Exploited Vulnerability

Title

BYTEVALUE Intelligent Flow Control Router Command Injection

Summary

BYTEVALUE Intelligent Flow Control Router contains a command injection vulnerability via the /goform/webRead/open endpoint. The `path` parameter is not properly validated and is echoed into a shell context, allowing an attacker to inject and execute arbitrary shell commands on the device. Successful exploitation can lead to writing backdoors, privilege escalation on the host, and full compromise of the router and its management functions. VulnCheck has observed this vulnerability being targeted by the RondoDox botnet campaign.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-10-15 20:03 UTC

CWE

CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

Assigner

VulnCheck mitre root

References

4 references

URL	Tags
https://github.com/adysec/nuclei_poc/blob/49c283b…	exploit
https://isc.sans.edu/diary/Exploit+against+Unname…	technical-descriptionexploit
https://blog.csdn.net/zkaqlaoniao/article/details…	technical-descriptionexploit
https://www.vulncheck.com/advisories/bytevalue-in…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
BYTEVALUE (Luoyang Baiwei Intelligent Technology Co., Ltd.)	Flow Control Router	Affected: *

Credits

Anonymous User on CSDN

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JSON

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  "containers": {
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        "metrics": [
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                "id": "CVE-2023-7311",
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                  },
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                "role": "CISA Coordinator",
                "timestamp": "2025-10-15T20:03:47.648594Z",
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            }
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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.