CVE-2017-2345

What is this vulnerability?

CVE-2017-2345 is categorized as a critical Improper Input Validation flaw with a CVSS base score of 9.8. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

On Junos OS devices with SNMP enabled, a network based attacker with unfiltered access to the RE can cause the Junos OS snmpd daemon to crash and restart by sending a crafted SNMP packet. Repeated crashes of the snmpd daemon can result in a partial denial of service condition. Additionally, it may be possible to craft a malicious SNMP packet in a way that can result in remote code execution. SNMP is disabled in Junos OS by default. Junos OS devices with SNMP disabled are not affected by this issue. No other Juniper Networks products or platforms are affected by this issue. NOTE: This is a different issue than Cisco CVE-2017-6736, CVE-2017-6737, and CVE-2017-6738. Affected releases are Juniper Networks Junos OS 12.1X46 prior to 12.1X46-D67; 12.3X48 prior to 12.3X48-D51, 12.3X48-D55; 13.3 prior to 13.3R10-S2; 14.1 prior to 14.1R2-S10, 14.1R8-S4, 14.1R9; 14.1X50 prior to 14.1X50-D185; 14.1X53 prior to 14.1X53-D122, 14.1X53-D44, 14.1X53-D50; 14.2 prior to 14.2R4-S9, 14.2R7-S7, 14.2R8; 15.1 prior to 15.1F2-S18, 15.1F6-S7, 15.1R4-S8, 15.1R5-S5, 15.1R6-S1, 15.1R7; 15.1X49 prior to 15.1X49-D100, 15.1X49-D110; 15.1X53 prior to 15.1X53-D231, 15.1X53-D47, 15.1X53-D48, 15.1X53-D57, 15.1X53-D64, 15.1X53-D70; 16.1 prior to 16.1R3-S4, 16.1R4-S3, 16.1R4-S4, 16.1R5; 16.2 prior to 16.2R2, 16.2R3; 17.1 prior to 17.1R1-S3, 17.1R2, 17.1R3; 17.2 prior to 17.2R1-S1, 17.2R2; 17.2X75 prior to 17.2X75-D30. Junos releases prior to 10.2 are 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

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-2017-2345

1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

Precogs AI Analysis Engine identifies this vulnerability class through semantic code analysis powered by Code Property Graph (CPG) technology, performing inter-procedural taint tracking to detect injection flaws, broken authentication, and insecure data flows across your entire codebase.

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.

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Vulnerability Code Signature

Attack Data Flow

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.