VAR-201911-0302
Vulnerability from variot - Updated: 2024-11-23 21:59On BIG-IP AFM 15.0.0-15.0.1, 14.0.0-14.1.2, 13.1.0-13.1.3.1, and 12.1.0-12.1.5, a vulnerability in the AFM configuration utility may allow any authenticated BIG-IP user to run an SQL injection attack. F5 BIG-IP AFM is an advanced firewall product used to protect against DDos attacks from F5 Corporation of the United States. The vulnerability stems from the lack of verification of externally input SQL statements in database-based applications. Attackers can exploit this vulnerability to execute illegal SQL commands. The following products and versions are affected: F5 BIG-IP AFM from version 15.0.0 to version 15.0.1, version 14.0.0 to version 14.1.2, version 13.1.0 to version 13.1.3, version 12.1.0 to version 12.1.5 Version
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"data": "BIG-IP AFM In SQL Injection vulnerability",
"sources": [
{
"db": "JVNDB",
"id": "JVNDB-2019-011460"
}
],
"trust": 0.8
},
"type": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
}
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},
"data": "SQL injection",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-201911-001"
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}
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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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