CVE-2017-6517

Uncontrolled Search Path Element in Microsoft Skype 7

Verified by Precogs Threat Research
Last Updated: Apr 20, 2025
Base Score
9.8CRITICAL

Executive Summary

CVE-2017-6517 is a critical severity vulnerability affecting appsec. It is classified as CWE-427. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Microsoft Skype contains a DLL hijacking vulnerability due to insecure directory loading restrictions. Attackers place a malicious DLL in a specific directory, which is executed when a user opens a Skype-associated file. Precogs Application Security Module audits untrusted search paths and dynamic library loading."

Exploit Probability (EPSS)
Elevated (19.7%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecCWE-427

What is this vulnerability?

CVE-2017-6517 is categorized as a critical Uncontrolled Search Path Element 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.

Microsoft Skype 7.16.0.102 contains a vulnerability that could allow an unauthenticated, remote attacker to execute arbitrary code on the targeted system. This vulnerability exists due to the way .dll files are loaded by Skype. It allows an attacker to load a .dll of the attacker's choosing that could execute arbitrary code without the user's knowledge.The specific flaw exists within the handling of DLL (api-ms-win-core-winrt-string-l1-1-0.dll) loading by the Skype.exe process.

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

MetricValue
CVSS Base Score9.8 (CRITICAL)
Vector StringCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
PublishedMarch 23, 2017
Last ModifiedApril 20, 2025
Related CWEsCWE-427

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-2017-6517

  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

Microsoft Skype contains a DLL hijacking vulnerability due to insecure directory loading restrictions. Attackers place a malicious DLL in a specific directory, which is executed when a user opens a Skype-associated file. Precogs Application Security Module audits untrusted search paths and dynamic library loading.

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.

Start scanning with Precogs →

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication 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

Related Vulnerabilitiesvia CWE-427

Is your system affected?

Precogs AI detects CVE-2017-6517 in compiled binaries, LLMs, and application layers — even without source code access.