CVE-2025-20286
CWE-259 in A vulnerability in Amazon Web Services (AWS), Microsoft Azure, and Oracle Cloud Infrastructure (OCI) cloud deployments of Cisco Identity Services Engine (ISE) could allow an unauthenticated, remote attacker to access sensitive data, execute limited administrative operations, modify system configurations, or disrupt services within the impacted systems
Executive Summary
CVE-2025-20286 is a critical severity vulnerability affecting appsec. It is classified as CWE-259. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.
Precogs AI Insight
"Cisco Identity Services Engine (ISE) deployed in cloud environments contains a vulnerability allowing unauthenticated access. Attackers exploit misconfigured cloud metadata endpoints or API routing to bypass network restrictions and access the ISE console. Precogs API Security Engine intercepts unconstrained outbound HTTP requests."
What is this vulnerability?
CVE-2025-20286 is categorized as a critical CWE-259 flaw with a CVSS base score of 9.9. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
A vulnerability in Amazon Web Services (AWS), Microsoft Azure, and Oracle Cloud Infrastructure (OCI) cloud deployments of Cisco Identity Services Engine (ISE) could allow an unauthenticated, remote attacker to access sensitive data, execute limited administrative operations, modify system configurations, or disrupt services within the impacted systems.
This vulnerability exists because credentials are improperly generated when Cisco ISE is being deployed on cloud platforms, resulting in different Cisco ISE deployments sharing the same credentials. These credentials are shared across multiple Cisco ISE deployments as long as the software release and cloud platform are the same. An attacker could exploit this vulnerability by extracting the user credentials from Cisco ISE that is deployed in the cloud and then using them to access Cisco ISE that is deployed in other cloud environments through unsecured ports. A successful exploit could allow the attacker to access sensitive data, execute limited administrative operations, modify system configurations, or disrupt services within the impacted systems. Note: If the Primary Administration node is deployed in the cloud, then Cisco ISE is affected by this vulnerability. If the Primary Administration node is on-premises, then it is not affected.
This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.
Risk Assessment
| Metric | Value |
|---|---|
| CVSS Base Score | 9.9 (CRITICAL) |
| Vector String | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:H |
| Published | June 4, 2025 |
| Last Modified | October 15, 2025 |
| Related CWEs | CWE-259 |
Impact on Systems
✅ Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.
✅ Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.
✅ Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.
How to Fix and Mitigate CVE-2025-20286
- Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
- Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
- Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
- Audit Dependencies: Review and update all third-party libraries and transitive dependencies.
Defending with Precogs AI
Cisco Identity Services Engine (ISE) deployed in cloud environments contains a vulnerability allowing unauthenticated access. Attackers exploit misconfigured cloud metadata endpoints or API routing to bypass network restrictions and access the ISE console. Precogs API Security Engine intercepts unconstrained outbound HTTP requests.
Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | Untrusted User Input |
| Vector | Input flows through the application logic without sanitization |
| Sink | Execution or Rendering Sink |
| Impact | Application compromise, Logic Bypass, Data Exfiltration |
Vulnerable Code Pattern
# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
user_input = request.GET.get('data')
# Taint sink: processing untrusted data
execute_logic(user_input)
return {"status": "success"}
Secure Code Pattern
# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
user_input = request.GET.get('data')
# Sanitized boundary check
if not is_valid_format(user_input):
raise ValueError("Invalid input format")
sanitized_data = sanitize(user_input)
execute_logic(sanitized_data)
return {"status": "success"}
How Precogs Detects This
Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n