FKIE_CVE-2006-1659
Vulnerability from fkie_nvd - Published: 2006-04-07 10:04 - Updated: 2026-06-16 22:23
Severity
Summary
Multiple SQL injection vulnerabilities in Softbiz Image Gallery allow remote attackers to execute arbitrary SQL commands via the (1) id parameter in image_desc.php, (2) provided parameter in template.php, (3) cid parameter in suggest_image.php, (4) img_id parameter in insert_rating.php, and (5) cid parameter in images.php.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| softbizscripts | image_gallery_script | - |
{
"affected": [
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"source": "cve@mitre.org"
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"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple SQL injection vulnerabilities in Softbiz Image Gallery allow remote attackers to execute arbitrary SQL commands via the (1) id parameter in image_desc.php, (2) provided parameter in template.php, (3) cid parameter in suggest_image.php, (4) img_id parameter in insert_rating.php, and (5) cid parameter in images.php."
}
],
"evaluatorSolution": "This vulnerability most likely affects all versions of Softbiz, Image Gallery.",
"id": "CVE-2006-1659",
"lastModified": "2026-06-16T22:23:23.347",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
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},
"published": "2006-04-07T10:04:00.000",
"references": [
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"tags": [
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},
{
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"url": "http://www.securityfocus.com/archive/1/429763/100/0/threaded"
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{
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"tags": [
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"url": "http://www.securityfocus.com/bid/17339"
},
{
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"tags": [
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"url": "http://www.vupen.com/english/advisories/2006/1217"
},
{
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/25616"
},
{
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{
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{
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
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"value": "NVD-CWE-Other"
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],
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]
}
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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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