CVE-2023-29300 (GCVE-0-2023-29300)

Vulnerability from cvelistv5 – Published: 2023-07-12 15:46 – Updated: 2025-10-21 23:05
VLAI CISA Previdian
Title
Adobe ColdFusion Deserialization of Untrusted Data Arbitrary code execution
Summary
Adobe ColdFusion versions 2018u16 (and earlier), 2021u6 (and earlier) and 2023.0.0.330468 (and earlier) are affected by a Deserialization of Untrusted Data vulnerability that could result in Arbitrary code execution. Exploitation of this issue does not require user interaction.
SSVC
Exploitation: active Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-08 17:03 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data (CWE-502)
References
Impacted products
Vendor Product Version
Adobe ColdFusion Affected: 0 , ≤ 2023.0.0.330468 (semver)
Create a notification for this product.
Date Public
2023-07-11 17:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2023-29300

Status: Confirmed

Status Updated: 2024-01-08 01:00 CET

Exploited: Yes


Timestamps
First Seen: 2024-01-08
Asserted: 2024-01-08

Scope
Notes: Adobe ColdFusion Deserialization of Untrusted Data Vulnerability | Affected: Adobe / ColdFusion | Description: Adobe ColdFusion contains a deserialization of untrusted data vulnerability that allows for code execution. | Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable. | Due date: 2024-01-29 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://helpx.adobe.com/security/products/coldfusion/apsb23-40.html; https://nvd.nist.gov/vuln/detail/CVE-2023-29300

Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev


Details
Cwes CWE-502
Feed CISA Known Exploited Vulnerabilities Catalog
Product ColdFusion
Due Date 2024-01-29
Date Added 2024-01-08
Vendorproject Adobe
Vulnerabilityname Adobe ColdFusion Deserialization of Untrusted Data Vulnerability
Knownransomwarecampaignuse Known

References

Created: 2026-10-02 08:09 CEST | Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2023-29300

Status: Confirmed

Status Updated: 2024-01-08 01:00 CET

Exploited: Yes


Timestamps
First Seen: 2024-01-08
Asserted: 2024-01-08

Scope
Notes: Adobe ColdFusion Deserialization of Untrusted Data Arbitrary code execution | Affected: Adobe / ColdFusion | CVSS: 9.8 (CRITICAL) | EPSS: 0.99991 | Used in malware: yes | Not yet in CISA KEV: False

Evidence

Type: Public Report

Signal: Confirmed Compromise

Confidence: 70%

Source: previdian


Details
Feed Previdian (previdian.com)
Title Adobe ColdFusion Deserialization of Untrusted Data Arbitrary code execution
Cve Id CVE-2023-29300
Vendor Adobe
Ghsa Id None
Product ColdFusion
Added Date 2024-01-08T00:00:00.000Z
Cvss Score 9.8
Epss Score 0.99991
Previous Ids
Cvss Severity CRITICAL
Virtual Patch False
Cvss Estimated False
Epss Percentile 0.99986
Used In Malware yes
Vulnerability Id CVE-2023-29300
Ahead Of Cisa Kev None
Not Yet In Cisa Kev False

References

Created: 2026-10-02 09:11 CEST | Updated: 2026-10-02 09:11 CEST
Show details on NVD website

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                "temporalSeverity": "CRITICAL",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "format": "CVSS",
              "scenarios": [
                {
                  "lang": "en",
                  "value": "GENERAL"
                }
              ]
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-502",
                  "description": "Deserialization of Untrusted Data (CWE-502)",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2023-07-12T15:46:08.686Z",
            "orgId": "078d4453-3bcd-4900-85e6-15281da43538",
            "shortName": "adobe"
          },
          "references": [
            {
              "tags": [
                "vendor-advisory"
              ],
              "url": "https://helpx.adobe.com/security/products/coldfusion/apsb23-40.html"
            }
          ],
          "source": {
            "discovery": "EXTERNAL"
          },
          "title": "Adobe ColdFusion Deserialization of Untrusted Data Arbitrary code execution"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "078d4453-3bcd-4900-85e6-15281da43538",
        "assignerShortName": "adobe",
        "cveId": "CVE-2023-29300",
        "datePublished": "2023-07-12T15:46:08.686Z",
        "dateReserved": "2023-04-04T20:46:42.578Z",
        "dateUpdated": "2025-10-21T23:05:42.860Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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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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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