Vulnerability-Lookup

GHSA-XMQ8-C3H6-WF48

Vulnerability from github – Published: 2022-08-04 00:00 – Updated: 2022-08-10 00:00

Details

This vulnerability allows remote attackers to disclose sensitive information on affected installations of BMC Track-It! 20.21.02.109. Authentication is required to exploit this vulnerability. The specific flaw exists within the GetPopupSubQueryDetails endpoint. The issue results from the lack of proper validation of a user-supplied string before using it to construct SQL queries. An attacker can leverage this vulnerability to disclose stored credentials, leading to further compromise. Was ZDI-CAN-16690.

Severity

6.5 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2022-35864"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-08-03T16:15:00Z",
    "severity": "MODERATE"
  },
  "details": "This vulnerability allows remote attackers to disclose sensitive information on affected installations of BMC Track-It! 20.21.02.109. Authentication is required to exploit this vulnerability. The specific flaw exists within the GetPopupSubQueryDetails endpoint. The issue results from the lack of proper validation of a user-supplied string before using it to construct SQL queries. An attacker can leverage this vulnerability to disclose stored credentials, leading to further compromise. Was ZDI-CAN-16690.",
  "id": "GHSA-xmq8-c3h6-wf48",
  "modified": "2022-08-10T00:00:21Z",
  "published": "2022-08-04T00:00:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35864"
    },
    {
      "type": "WEB",
      "url": "https://community.bmc.com/s/article/Security-vulnerabilities-patched-in-Track-It-Version-2"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-967"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-35864 (GCVE-0-2022-35864)

Vulnerability from cvelistv5 – Published: 2022-08-03 15:21 – Updated: 2024-08-03 09:44

Summary

Severity

5.3 (Medium)


                        
                          CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

zdi mitre root

References

2 references

URL	Tags
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC
https://community.bmc.com/s/article/Security-vuln…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
BMC	Track-It!	Affected: 20.21.02.109

Credits

Y4er

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JSON

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        "providerMetadata": {
          "dateUpdated": "2024-08-03T09:44:22.081Z",
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        ],
        "title": "CVE Program Container"
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    "cna": {
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          "product": "Track-It!",
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        {
          "cvssV3_0": {
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            "availabilityImpact": "NONE",
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            "confidentialityImpact": "HIGH",
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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.