GHSA-F3MW-PMH2-74WC
Vulnerability from github – Published: 2024-09-16 21:30 – Updated: 2024-11-13 09:30
VLAI
Details
An issue was discovered in BSC Smart Contract 0x0506e571aba3dd4c9d71bed479a4e6d40d95c833. Attackers are able to perform state manipulation attacks by borrowing a large amount of money and then using this amount to inflate the token balance in the token pair, leading to increased profits without cost.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-44445"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-09-16T20:15:47Z",
"severity": "MODERATE"
},
"details": "An issue was discovered in BSC Smart Contract 0x0506e571aba3dd4c9d71bed479a4e6d40d95c833. Attackers are able to perform state manipulation attacks by borrowing a large amount of money and then using this amount to inflate the token balance in the token pair, leading to increased profits without cost.",
"id": "GHSA-f3mw-pmh2-74wc",
"modified": "2024-11-13T09:30:56Z",
"published": "2024-09-16T21:30:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-44445"
},
{
"type": "WEB",
"url": "https://gist.github.com/shuo-young/fcb18cca532ff26de0fe3a18cc5555b6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
"type": "CVSS_V3"
}
]
}
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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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