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CVE-2017-3066 (GCVE-0-2017-3066)

Vulnerability from cvelistv5 – Published: 2017-04-27 14:00 – Updated: 2025-10-21 23:55
VLAI CISA Previdian
Summary
Adobe ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier have a Java deserialization vulnerability in the Apache BlazeDS library. Successful exploitation could lead to arbitrary code execution.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-24 15:18 UTC
CWE
  • Code Injection
  • CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a Adobe ColdFusion ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier Affected: Adobe ColdFusion ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier
Date Public
2017-04-27 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 1c90cdc8-4615-4751-8b6b-6f55ed643d9a

Vulnerability ID: CVE-2017-3066

Status: Confirmed

Status Updated: 2025-02-24 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-02-24
Asserted: 2025-02-24
Scope
Notes: KEV entry: Adobe ColdFusion Deserialization Vulnerability | Affected: Adobe / ColdFusion | Description: Adobe ColdFusion contains a deserialization vulnerability in the Apache BlazeDS library that allows for arbitrary code execution. | Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable. | Due date: 2025-03-17 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://helpx.adobe.com/security/products/coldfusion/apsb17-14.html ; https://nvd.nist.gov/vuln/detail/CVE-2017-3066
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 2025-03-17
Date Added 2025-02-24
Vendorproject Adobe
Vulnerabilityname Adobe ColdFusion Deserialization Vulnerability
Knownransomwarecampaignuse Unknown
References
Created: 2026-02-02 12:26 UTC | Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: cb71dbdf-5aeb-4690-8e3d-ed08c0d24315

Vulnerability ID: CVE-2017-3066

Status: Confirmed

Status Updated: 2025-02-24 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-02-24
Asserted: 2025-02-24
Scope
Notes: KEVIntel entry: Adobe ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier have a Java deserialization... | Affected: Adobe / Adobe ColdFusion ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier | CVSS: 9.8 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Adobe ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier have a Java deserialization...
Vendor Adobe
Product Adobe ColdFusion ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier
Added Date 2025-02-24T00:00:00.000Z
Cvss Score 9.8
Epss Score None
Cvss Severity CRITICAL
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev False
References
Created: 2026-06-23 14:06 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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      "id": "CVE-2017-3066",
      "lastModified": "2024-11-21T03:24:45.723",
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      "published": "2017-04-27T14:59:00.233",
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      "sourceIdentifier": "psirt@adobe.com",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-502\"}]}]"
    },
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}



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Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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.