Vulnerability-Lookup

GHSA-55QQ-WP4M-G5QV

Vulnerability from github – Published: 2022-08-24 00:00 – Updated: 2022-08-26 00:03

Details

Fiserv Prologue through 2020-12-16 does not properly protect the database password. If an attacker were to gain access to the configuration file (specifically, the LogPassword attribute within appconfig.ini), they would be able to decrypt the password stored within the configuration file. This would yield cleartext credentials for the database (to gain access to financial records of customers stored within the database), and in some cases would allow remote login to the database.

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-2020-35992"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-522"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-08-23T02:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Fiserv Prologue through 2020-12-16 does not properly protect the database password. If an attacker were to gain access to the configuration file (specifically, the LogPassword attribute within appconfig.ini), they would be able to decrypt the password stored within the configuration file. This would yield cleartext credentials for the database (to gain access to financial records of customers stored within the database), and in some cases would allow remote login to the database.",
  "id": "GHSA-55qq-wp4m-g5qv",
  "modified": "2022-08-26T00:03:29Z",
  "published": "2022-08-24T00:00:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-35992"
    },
    {
      "type": "WEB",
      "url": "https://github.com/micahvandeusen/PrologueDecrypt"
    },
    {
      "type": "WEB",
      "url": "https://www.fiserv.com"
    }
  ],
  "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-2020-35992 (GCVE-0-2020-35992)

Vulnerability from cvelistv5 – Published: 2022-08-23 01:02 – Updated: 2024-08-04 17:16

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://www.fiserv.com	x_refsource_MISC
https://github.com/micahvandeusen/PrologueDecrypt	x_refsource_MISC

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              "x_transferred"
            ],
            "url": "https://www.fiserv.com"
          },
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          }
        ],
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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.