Vulnerability-Lookup

GHSA-FRVW-VF5G-VXWG

Vulnerability from github – Published: 2022-05-24 17:00 – Updated: 2024-04-04 02:36

Details

TightVNC code version 1.3.10 contains global buffer overflow in HandleCoRREBBP macro function, which can potentially result code execution. This attack appear to be exploitable via network connectivity.

Severity

9.8 (Critical)


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

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  "affected": [],
  "aliases": [
    "CVE-2019-8287"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-10-29T19:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "TightVNC code version 1.3.10 contains global buffer overflow in HandleCoRREBBP macro function, which can potentially result code execution. This attack appear to be exploitable via network connectivity.",
  "id": "GHSA-frvw-vf5g-vxwg",
  "modified": "2024-04-04T02:36:22Z",
  "published": "2022-05-24T17:00:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-8287"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-478893.pdf"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/12/msg00028.html"
    },
    {
      "type": "WEB",
      "url": "https://us-cert.cisa.gov/ics/advisories/icsa-20-343-08"
    },
    {
      "type": "WEB",
      "url": "https://www.openwall.com/lists/oss-security/2018/12/10/5"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2019-8287 (GCVE-0-2019-8287)

Vulnerability from cvelistv5 – Published: 2019-10-29 16:43 – Updated: 2024-08-04 21:17

Summary

Severity

No CVSS data available.

CWE

CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Assigner

Kaspersky CNA under the mitre root

CNA scorecard – unranked: 9 records in the last 180 days, 10 needed details

References

4 references

URL	Tags
https://www.openwall.com/lists/oss-security/2018/…	mailing-listx_refsource_MLIST
https://lists.debian.org/debian-lts-announce/2019…	mailing-listx_refsource_MLIST
https://cert-portal.siemens.com/productcert/pdf/s…	x_refsource_CONFIRM
https://us-cert.cisa.gov/ics/advisories/icsa-20-343-08	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Kaspersky	TightVNC	Affected: 1.3.10

Show details on NVD website

JSON

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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.

Vulnerability timeline

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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.

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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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