FKIE_CVE-2007-5112
Vulnerability from fkie_nvd - Published: 2007-09-26 23:17 - Updated: 2026-06-16 22:45
Severity
Summary
Cross-site scripting (XSS) vulnerability in session.cgi (aka the login page) in Google Urchin 5 5.7.03 and earlier allows remote attackers to inject arbitrary web script or HTML via the query string, a different vulnerability than CVE-2007-4713. NOTE: this can be leveraged to capture login credentials in some browsers that support remembered (auto-completed) passwords.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| roi_revolution | urchin | * |
{
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"configurations": [
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"value": "Cross-site scripting (XSS) vulnerability in session.cgi (aka the login page) in Google Urchin 5 5.7.03 and earlier allows remote attackers to inject arbitrary web script or HTML via the query string, a different vulnerability than CVE-2007-4713. NOTE: this can be leveraged to capture login credentials in some browsers that support remembered (auto-completed) passwords."
},
{
"lang": "es",
"value": "Vulnerabilidad de secuencias de comandos en sitios cruzados (XSS) en session.cgi (tambi\u00e9n conocido como p\u00e1gina de inicio de sesi\u00f3n) de Google Urchin 5 5.7.03 y anteriores permite a atacantes remotos inyectar secuencias de comandos web o HTML de su elecci\u00f3n mediante la cadena de consulta, una vulnerabilidad diferente de CVE-2007-4713. NOTA: esto puede ser utilizado para capturar las credenciales de acceso en algunos navegadores que soportan el recuerdo de contrase\u00f1as (auto-completado)."
}
],
"id": "CVE-2007-5112",
"lastModified": "2026-06-16T22:45:27.970",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"source": "nvd@nist.gov",
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"published": "2007-09-26T23:17:00.000",
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{
"source": "cve@mitre.org",
"url": "http://hackademix.net/2007/09/24/googhole-xss-pwning-gmail-picasa-and-almost-200k-customers/"
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{
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"url": "http://osvdb.org/38578"
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"url": "http://securityreason.com/securityalert/3177"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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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.
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- 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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