CVE-2026-94127 (GCVE-0-2026-94127)
Vulnerability from cvelistv5 – Published: 2026-09-22 14:17 – Updated: 2026-09-23 00:45Title
BIG-IP APM OAuth vulnerability
Summary
When a BIG-IP APM access policy and an OAuth profile are configured on a virtual server, specific malicious traffic can lead to remote code execution (RCE). This vulnerability is only present when BIG-IP APM is configured as an OAuth Authorization Server. Deployments using APM strictly as an OAuth Client / Resource Server (without OAuth authorization server profiles configured) are not affected by this vulnerability.
Impact:
This vulnerability allows an unauthenticated attacker to perform remote code execution. The BIG-IP system in Appliance mode is also vulnerable. This is a data plane issue; there is no control plane exposure.
Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-22 19:40 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://my.f5.com/manage/s/article/K000162605 | vendor-advisory |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
Date Public
2026-09-22 14:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f7dd33c2-03c3-4ff2-9f9f-66474c7f9169
Exploited: Yes
Timestamps
First Seen: 2026-09-22
Asserted: 2026-09-22
Scope
Notes: F5 BIG-IP APM Heap-based Buffer Overflow Vulnerability | Affected: F5 / BIG-IP APM | Description: F5 BIG-IP APM contains a heap-based buffer overflow vulnerability when access policy and an OAuth profile are configured on a virtual server. This vulnerability could allow an unauthenticated attacker to perform remote code execution. | Required action: Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines. | Due date: 2026-09-25 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): For temporary mitigation to allow for proactive forensic triage, apply the vendor-provided iRule. Once completed, install the final vendor patch as soon as possible. For more information please see: https://my.f5.com/manage/s/article/K000162605 ; BOD 26-04: https://www.cisa.gov/news-events/directives/bod-26-04-prioritizing-security-updates-based-risk ; Forensics Triage Requirements: https://www.cisa.gov/news-events/directives/bod-26-04-implementation-guidance-prioritizing-security-updates-based-risk ; https://nvd.nist.gov/vuln/detail/CVE-2026-94127
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-122 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | BIG-IP APM |
| Due Date | 2026-09-25 |
| Date Added | 2026-09-22 |
| Vendorproject | F5 |
| Vulnerabilityname | F5 BIG-IP APM Heap-based Buffer Overflow Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-09-22 20:00 UTC
| Updated: 2026-09-22 20:00 UTC
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],
"value": "An iRule is available upon request.\nOpen a ticket with F5 support to request this."
}
],
"x_generator": {
"engine": "F5 SIRTBot v1.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "9dacffd4-cb11-413f-8451-fbbfd4ddc0ab",
"assignerShortName": "f5",
"cveId": "CVE-2026-94127",
"datePublished": "2026-09-22T14:17:42.730Z",
"dateReserved": "2026-09-20T17:39:19.975Z",
"dateUpdated": "2026-09-23T00:45:09.611Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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