CVE-2023-27586

Directly implements checks on information inputs to reject invalid data before processing.

Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.

Detects server-side request forgery through monitoring of unexpected outbound connections.

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

Vulnerability identification processes can discover and record SSRF flaws in web applications.

Network segmentation and egress controls can limit the damage from successful SSRF requests.

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.