CVE-2024-0576 (GCVE-0-2024-0576)
Vulnerability from cvelistv5 – Published: 2024-01-16 15:31 – Updated: 2025-06-06 20:08
VLAI
EPSS
VEX
Title
Totolink LR1200GB cstecgi.cgi setIpPortFilterRules stack-based overflow
Summary
A vulnerability was found in Totolink LR1200GB 9.1.0u.6619_B20230130. It has been declared as critical. This vulnerability affects the function setIpPortFilterRules of the file /cgi-bin/cstecgi.cgi. The manipulation of the argument sPort leads to stack-based buffer overflow. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-250792. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.
Severity
8.8 (High)
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-06 20:08 UTC
CWE
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.250792 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.250792 | signaturepermissions-required |
| https://github.com/jylsec/vuldb/blob/main/TOTOLIN… | broken-linkexploit |
Impacted products
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"metrics": [
{
"cvssV3_1": {
"baseScore": 8.8,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 8.8,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
}
},
{
"cvssV2_0": {
"baseScore": 9,
"vectorString": "AV:N/AC:L/Au:S/C:C/I:C/A:C",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-121",
"description": "CWE-121 Stack-based Buffer Overflow",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-02-09T19:12:01.212Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.250792"
},
{
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.250792"
},
{
"tags": [
"broken-link",
"exploit"
],
"url": "https://github.com/jylsec/vuldb/blob/main/TOTOLINK/LR1200GB/6/README.md"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-01-16T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-01-16T00:00:00.000Z",
"value": "CVE reserved"
},
{
"lang": "en",
"time": "2024-01-16T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-02-03T19:02:48.000Z",
"value": "VulDB entry last update"
}
],
"title": "Totolink LR1200GB cstecgi.cgi setIpPortFilterRules stack-based overflow"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-0576",
"datePublished": "2024-01-16T15:31:03.567Z",
"dateReserved": "2024-01-16T07:06:26.888Z",
"dateUpdated": "2025-06-06T20:08:24.740Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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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.
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.
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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.
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