CERTA-2007-AVI-218
Vulnerability from certfr_avis - Published: - Updated:
Une vulnérabilité dans MySQL permet à une personne malintetionnée d'effectuer un déni de service à distance.
Description
Une vulnérabilité dans MySQL, due à une erreur de traitement de requêtes IF spécialement conçues, permet à un attaquant d'effectuer un déni de service à distance.
Solution
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
MySQL versions antérieures à 5.0.40.
Impacted products
| Vendor | Product | Description |
|---|
References
| Title | Publication Time | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [],
"affected_systems_content": "\u003cP\u003eMySQL versions ant\u00e9rieures \u00e0 5.0.40.\u003c/P\u003e",
"content": "## Description\n\nUne vuln\u00e9rabilit\u00e9 dans MySQL, due \u00e0 une erreur de traitement de requ\u00eates\nIF sp\u00e9cialement con\u00e7ues, permet \u00e0 un attaquant d\u0027effectuer un d\u00e9ni de\nservice \u00e0 distance.\n\n## Solution\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des\ncorrectifs (cf. section Documentation).\n",
"cves": [
{
"name": "CVE-2007-2583",
"url": "https://www.cve.org/CVERecord?id=CVE-2007-2583"
}
],
"links": [
{
"title": "Rapport de bug MySQL n\u00b027513 du 29 mars 2007 :",
"url": "http://bugs.mysql.com/bug.php?id=27513"
}
],
"reference": "CERTA-2007-AVI-218",
"revisions": [
{
"description": "version initiale.",
"revision_date": "2007-05-11T00:00:00.000000"
}
],
"risks": [
{
"description": "D\u00e9ni de service \u00e0 distance"
}
],
"summary": "Une vuln\u00e9rabilit\u00e9 dans MySQL permet \u00e0 une personne malintetionn\u00e9e\nd\u0027effectuer un d\u00e9ni de service \u00e0 distance.\n",
"title": "Vuln\u00e9rabilit\u00e9 dans MySQL",
"vendor_advisories": [
{
"published_at": null,
"title": "Rapport de bug n\u00b027513 de MySQL du 29 mars 2007",
"url": null
}
]
}
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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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