CVE-2022-24086 (GCVE-0-2022-24086)
Vulnerability from cvelistv5 – Published: 2022-02-16 16:38 – Updated: 2025-10-21 23:15Title
Adobe Commerce checkout improper input validation leads to remote code execution
Summary
Adobe Commerce versions 2.4.3-p1 (and earlier) and 2.3.7-p2 (and earlier) are affected by an improper input validation vulnerability during the checkout process. Exploitation of this issue does not require user interaction and could result in arbitrary code execution.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-27 18:35 UTC
CWE
- CWE-20 - Improper Input Validation (CWE-20)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/magento… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Adobe | Magento Commerce |
Affected:
unspecified , ≤ 2.4.3-p1
(custom)
Affected: unspecified , ≤ 2.3.7-p2 (custom) Affected: unspecified , ≤ None (custom) |
guessed |
Date Public
2022-02-13 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: c27ba220-7219-437a-bd14-d5b7081a3220
Exploited: Yes
Timestamps
First Seen: 2022-02-15
Asserted: 2022-02-15
Scope
Notes: KEV entry: Adobe Commerce and Magento Open Source Improper Input Validation Vulnerability | Affected: Adobe / Commerce and Magento Open Source | Description: Adobe Commerce and Magento Open Source contain an improper input validation vulnerability which can allow for arbitrary code execution. | Required action: Apply updates per vendor instructions. | Due date: 2022-03-01 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2022-24086
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-20 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Commerce and Magento Open Source |
| Due Date | 2022-03-01 |
| Date Added | 2022-02-15 |
| Vendorproject | Adobe |
| Vulnerabilityname | Adobe Commerce and Magento Open Source Improper Input Validation Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 13:25 UTC
| Updated: 2026-02-06 07:53 UTC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a8c9050f-bfb2-4785-8db8-45a7da321082
Exploited: Yes
Characteristics
Severity:
98.0
Timestamps
First Seen: 2024-02-14
Asserted: 2024-02-14
Last Seen: 2024-02-17
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Adobe / Adobe Commerce (Magento) | Class: other-software | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: yes | Honeypot connections on 2024-02-17: 2
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 0 |
| Vendor | Adobe |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Adobe Commerce (Magento) |
| Cisa Kev | yes |
| Connections | 2 |
| Observation Date | 2024-02-17 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Created: 2026-07-01 09:12 UTC
| Updated: 2026-07-01 10:47 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a59e5653-7e21-45f5-9b30-6835e389e6ec
Exploited: Yes
Timestamps
First Seen: 2022-02-15
Asserted: 2022-02-15
Scope
Notes: KEVIntel entry: Adobe Commerce checkout improper input validation leads to remote code execution | Affected: Adobe / Magento Commerce | 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 Commerce checkout improper input validation leads to remote code execution |
| Vendor | Adobe |
| Product | Magento Commerce |
| Added Date | 2022-02-15T00:00:00.000Z |
| 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 11:13 UTC
| Updated: 2026-06-23 11:13 UTC
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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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