GSD-2006-7170
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Multiple SQL injection vulnerabilities in Koan Software Mega Mall allow remote attackers to execute arbitrary SQL commands via the (1) t, (2) productId, (3) sk, (4) x, or (5) so parameter to (a) product_review.php; or the (6) orderNo parameter to (b) order-track.php.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-7170",
"description": "Multiple SQL injection vulnerabilities in Koan Software Mega Mall allow remote attackers to execute arbitrary SQL commands via the (1) t, (2) productId, (3) sk, (4) x, or (5) so parameter to (a) product_review.php; or the (6) orderNo parameter to (b) order-track.php.",
"id": "GSD-2006-7170"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
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"id": "GSD-2006-7170",
"modified": "2023-12-13T01:19:53.456806Z",
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}
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"affects": {
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"vendor_data": [
{
"product": {
"product_data": [
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"version": {
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"name": "21072",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/21072"
},
{
"name": "20061112 Mega Mall [ multiples injection sql \u0026 full path disclosure ]",
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"url": "http://marc.info/?l=bugtraq\u0026m=116343783720459\u0026w=2"
},
{
"name": "megamall-productreview-sql-injection(30214)",
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/30214"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": true,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-07-29T01:29Z",
"publishedDate": "2007-03-20T10:19Z"
}
}
}
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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.
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