FKIE_CVE-2019-1010153

Vulnerability from fkie_nvd - Published: 2019-07-23 14:15 - Updated: 2026-06-17 02:09
Severity
9.8 (Critical) - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Summary
zzcms 8.3 and earlier is affected by: SQL Injection. The impact is: sql inject. The component is: zs/subzs.php.
References
josh@bress.nethttps://gist.github.com/Lz1y/31595b060cd6a031896fdf2b3a1273f5Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://gist.github.com/Lz1y/31595b060cd6a031896fdf2b3a1273f5Exploit, Third Party Advisory
Impacted products
Vendor Product Version
zzcms zzcms *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "zzcms",
          "vendor": "zzcms",
          "versions": [
            {
              "status": "affected",
              "version": "\u2264 8.3"
            }
          ]
        }
      ],
      "source": "josh@bress.net"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:zzcms:zzcms:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "4CEE62B0-0372-4ED6-89F3-7A37C164AA0A",
              "versionEndIncluding": "8.3",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "zzcms 8.3 and earlier is affected by: SQL Injection. The impact is: sql inject. The component is: zs/subzs.php."
    },
    {
      "lang": "es",
      "value": "zzcms versi\u00f3n 8.3 y versiones anteriores est\u00e1n afectadas por: Inyecci\u00f3n SQL. El impacto es: inyectar sql. El componente es: el archivo zs/subzs.php."
    }
  ],
  "id": "CVE-2019-1010153",
  "lastModified": "2026-06-17T02:09:48.683",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 7.5,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 6.4,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2019-07-23T14:15:12.547",
  "references": [
    {
      "source": "josh@bress.net",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://gist.github.com/Lz1y/31595b060cd6a031896fdf2b3a1273f5"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://gist.github.com/Lz1y/31595b060cd6a031896fdf2b3a1273f5"
    }
  ],
  "sourceIdentifier": "josh@bress.net",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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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.