Vulnerability-Lookup

FKIE_CVE-2010-5246

Vulnerability from fkie_nvd - Published: 2012-09-07 10:32 - Updated: 2026-06-16 23:26

Severity

Summary

Multiple untrusted search path vulnerabilities in Maxthon Browser 1.6.7.35 and 2.5.15 allow local users to gain privileges via a Trojan horse (1) RSRC32.dll or (2) dwmapi.dll file in the current working directory, as demonstrated by a directory that contains a .html file. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information.

References

	URL	Tags
	cve@mitre.org	http://secunia.com/advisories/41200	Vendor Advisory
	af854a3a-2127-422b-91ae-364da2661108	http://secunia.com/advisories/41200	Vendor Advisory

Impacted products

	Vendor	Product	Version
	maxthon	maxthon_browser	1.6.7.35
	maxthon	maxthon_browser	2.5.15

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
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      "source": "cve@mitre.org"
    }
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  "configurations": [
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              "criteria": "cpe:2.3:a:maxthon:maxthon_browser:1.6.7.35:*:*:*:*:*:*:*",
              "matchCriteriaId": "DDD35300-EDB9-4CF2-A533-B398A0F042EE",
              "vulnerable": true
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Multiple untrusted search path vulnerabilities in Maxthon Browser 1.6.7.35 and 2.5.15 allow local users to gain privileges via a Trojan horse (1) RSRC32.dll or (2) dwmapi.dll file in the current working directory, as demonstrated by a directory that contains a .html file. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information."
    },
    {
      "lang": "es",
      "value": "M\u00faltiples vulnerabilidades de path de b\u00fasqueda no confiable en Maxthon Browser v1.6.7.35 y v2.5.15, permite a usuario locales obtener privilegios a trav\u00e9s de un fichero (1) RSRC32.dll o (2) dwmapi.dll troyanizados en el directorio de trabajo actual, como se demostr\u00f3 mediante un directorio que conten\u00eda un fichero .html. NOTA: La procedencia de esta informaci\u00f3n es desconocida. Algunos de estos detalles se han obtenido de terceros."
    }
  ],
  "evaluatorComment": "Per: http://cwe.mitre.org/data/definitions/426.html \u0027CWE-426 Untrusted Search Path\u0027",
  "id": "CVE-2010-5246",
  "lastModified": "2026-06-16T23:26:24.650",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "LOCAL",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 6.9,
          "confidentialityImpact": "COMPLETE",
          "integrityImpact": "COMPLETE",
          "vectorString": "AV:L/AC:M/Au:N/C:C/I:C/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 3.4,
        "impactScore": 10.0,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ]
  },
  "published": "2012-09-07T10:32:21.897",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "http://secunia.com/advisories/41200"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "http://secunia.com/advisories/41200"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-Other"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2010-5246 (GCVE-0-2010-5246)

Vulnerability from cvelistv5 – Published: 2012-09-07 10:00 – Updated: 2024-09-16 21:57

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
http://secunia.com/advisories/41200	third-party-advisoryx_refsource_SECUNIA

Show details on NVD website

JSON

To clipboard

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            "url": "http://secunia.com/advisories/41200"
          }
        ],
        "title": "CVE Program Container"
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    "cna": {
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        }
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      "providerMetadata": {
        "dateUpdated": "2012-09-07T10:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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          "STATE": "PUBLIC"
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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.

Detection rules are retrieved from Rulezet.

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.

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.