GSD-2012-2299
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The Ubercart module 6.x-2.x before 6.x-2.8 and 7.x-3.x before 7.x-3.1 for Drupal stores passwords for new customers in plaintext during checkout, which allows local users to obtain sensitive information by reading from the database.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2012-2299",
"description": "The Ubercart module 6.x-2.x before 6.x-2.8 and 7.x-3.x before 7.x-3.1 for Drupal stores passwords for new customers in plaintext during checkout, which allows local users to obtain sensitive information by reading from the database.",
"id": "GSD-2012-2299"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2012-2299"
],
"details": "The Ubercart module 6.x-2.x before 6.x-2.8 and 7.x-3.x before 7.x-3.1 for Drupal stores passwords for new customers in plaintext during checkout, which allows local users to obtain sensitive information by reading from the database.",
"id": "GSD-2012-2299",
"modified": "2023-12-13T01:20:15.792239Z",
"schema_version": "1.4.0"
}
},
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},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
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{
"version_value": "n/a"
}
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}
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},
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"name": "[oss-security] 20120502 Re: CVE Request for Drupal contributed modules",
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"url": "http://www.openwall.com/lists/oss-security/2012/05/03/2"
},
{
"name": "48935",
"refsource": "SECUNIA",
"url": "http://secunia.com/advisories/48935"
},
{
"name": "http://drupal.org/node/1547674",
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"url": "http://drupal.org/node/1547674"
},
{
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},
{
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"url": "http://drupalcode.org/project/ubercart.git/commitdiff/035d2cb"
},
{
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},
{
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},
{
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},
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},
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2012-08-15T04:00Z",
"publishedDate": "2012-08-14T22:55Z"
}
}
}
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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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