CVE-2018-4939 (GCVE-0-2018-4939)
Vulnerability from cvelistv5 – Published: 2018-05-19 17:00 – Updated: 2025-10-21 23:45Summary
Adobe ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions have an exploitable Deserialization of Untrusted Data vulnerability. Successful exploitation could lead to arbitrary code execution.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-04 15:25 UTC
CWE
- Deserialization of Untrusted Data
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/coldfus… | x_refsource_MISC |
| http://www.securityfocus.com/bid/103718 | vdb-entryx_refsource_BID |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Adobe ColdFusion ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions |
Affected:
Adobe ColdFusion ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions
|
Date Public
2018-05-19 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 4753be5b-8160-4c00-a4a7-87a11a17d42f
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Adobe ColdFusion Deserialization of Untrusted Data Vulnerability | Affected: Adobe / ColdFusion | Description: Adobe ColdFusion contains a deserialization of untrusted data vulnerability that could allow for code execution. | Required action: Apply updates per vendor instructions. | Due date: 2022-05-03 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2018-4939
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 | 2022-05-03 |
| Date Added | 2021-11-03 |
| Vendorproject | Adobe |
| Vulnerabilityname | Adobe ColdFusion Deserialization of Untrusted Data Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:10 CEST
| Updated: 2026-10-02 08:10 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 008b506d-1d30-4cff-a96f-fdf95161219f
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Adobe ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions have an exploitable Deserialization of Untrusted Data... | Affected: Adobe / Adobe ColdFusion ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions | CVSS: 9.8 (CRITICAL) | EPSS: 0.6167 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Adobe ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions have an exploitable Deserialization of Untrusted Data... |
| Cve Id | CVE-2018-4939 |
| Vendor | Adobe |
| Ghsa Id | None |
| Product | Adobe ColdFusion ColdFusion Update 5 and earlier versions, ColdFusion 11 Update 13 and earlier versions |
| Added Date | 2021-11-03T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.6167 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99148 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2018-4939 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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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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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