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CVE-2022-2444 (GCVE-0-2022-2444)

Vulnerability from cvelistv5 – Published: 2022-07-18 16:13 – Updated: 2026-04-08 17:27
VLAI
Title
Visualizer: Tables and Charts Manager for WordPress <= 3.7.9 - Authenticated (Contributor+) PHAR Deserialization
Summary
The Visualizer: Tables and Charts Manager for WordPress plugin for WordPress is vulnerable to deserialization of untrusted input via the 'remote_data' parameter in versions up to, and including 3.7.9. This makes it possible for authenticated attackers with contributor privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:14 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Impacted products
Vendor Product Version CPE status
themeisle Visualizer: Tables and Charts Manager for WordPress Affected: 0 , ≤ 3.7.9 (semver)
guessed Create a notification for this product.
Show details on NVD website

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      "initial_release_date": "2022-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Visualizer: Tables and Charts Manager for WordPress \u003c= 3.7.9 - Authenticated (Contributor+) PHAR Deserialization",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-2444.json",
      "version": "3"
    },
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              "dateUpdated": "2024-08-03T00:39:07.845Z",
              "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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                "url": "https://github.com/Codeinwp/visualizer/blob/master/classes/Visualizer/Source/Csv.php"
              },
              {
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                "tags": [
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                "url": "https://github.com/Codeinwp/visualizer/compare/v3.7.9...v3.7.10"
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            ],
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          },
          {
            "metrics": [
              {
                "other": {
                  "content": {
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                    "options": [
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                      {
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            ],
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            "providerMetadata": {
              "dateUpdated": "2025-05-05T13:10:30.475Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
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        ],
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          ],
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            }
          ],
          "metrics": [
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                "baseSeverity": "HIGH",
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            },
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            },
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          "timeline": [
            {
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              "time": "2022-07-05T00:00:00.000Z",
              "value": "Disclosed"
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          "title": "Visualizer: Tables and Charts Manager for WordPress \u003c= 3.7.9 - Authenticated (Contributor+) PHAR Deserialization"
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      },
      "cveMetadata": {
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        "datePublished": "2022-07-18T16:13:34.000Z",
        "dateReserved": "2022-07-15T00:00:00.000Z",
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      "dataType": "CVE_RECORD",
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    }
  }
}



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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

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.

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Detection rules are retrieved from Rulezet.

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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.


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