Vulnerability-Lookup

GHSA-FMPC-F658-MP75

Vulnerability from github – Published: 2022-05-13 01:32 – Updated: 2022-05-13 01:32

Details

Pixar's Tractor software, versions 2.2 and earlier, contain a stored cross-site scripting vulnerability in the field that allows a user to add a note to an existing node. The stored information is displayed when a user requests information about the node. An attacker could insert Javascript into this note field that is then saved and displayed to the end user. An attacker might include Javascript that could execute on an authenticated user's system that could lead to website redirects, session cookie hijacking, social engineering, etc. As this is stored with the information about the node, all other authenticated users with access to this data are also vulnerable.

Severity

5.4 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2018-5411"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-12-13T22:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Pixar\u0027s Tractor software, versions 2.2 and earlier, contain a stored cross-site scripting vulnerability in the field that allows a user to add a note to an existing node. The stored information is displayed when a user requests information about the node. An attacker could insert Javascript into this note field that is then saved and displayed to the end user. An attacker might include Javascript that could execute on an authenticated user\u0027s system that could lead to website redirects, session cookie hijacking, social engineering, etc. As this is stored with the information about the node, all other authenticated users with access to this data are also vulnerable.",
  "id": "GHSA-fmpc-f658-mp75",
  "modified": "2022-05-13T01:32:11Z",
  "published": "2022-05-13T01:32:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-5411"
    },
    {
      "type": "WEB",
      "url": "https://www.kb.cert.org/vuls/id/756913"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/106209"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2018-5411 (GCVE-0-2018-5411)

Vulnerability from cvelistv5 – Published: 2018-12-13 22:00 – Updated: 2024-08-05 05:33

Title

Pixar's Tractor software, versions 2.2 and earlier, contains a stored cross-site scripting vulnerability

Summary

Severity

No CVSS data available.

CWE

CWE-79

Assigner

certcc mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/106209	vdb-entryx_refsource_BID
https://www.kb.cert.org/vuls/id/756913/	third-party-advisoryx_refsource_CERT-VN

Impacted products

1 product

Vendor	Product	Version
Pixar	Tractor	Affected: 2.2 , ≤ 2.2 (custom)

Date Public

2018-12-13 00:00

Show details on NVD website

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          "dateUpdated": "2024-08-05T05:33:44.412Z",
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          },
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            "url": "https://www.kb.cert.org/vuls/id/756913/"
          }
        ],
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    ],
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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.