CVE-2013-3906

What is this vulnerability?

CVE-2013-3906 is categorized as a high Code Injection flaw with a CVSS base score of 7.8. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

GDI+ in Microsoft Windows Vista SP2 and Server 2008 SP2; Office 2003 SP3, 2007 SP3, and 2010 SP1 and SP2; Office Compatibility Pack SP3; and Lync 2010, 2010 Attendee, 2013, and Basic 2013 allows remote attackers to execute arbitrary code via a crafted TIFF image, as demonstrated by an image in a Word document, and exploited in the wild in October and November 2013.

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-2013-3906

1. Apply Vendor Patches Immediately: This vulnerability is listed in CISA's Known Exploited Vulnerabilities catalog. Apply updates per vendor instructions.
2. Verify Patch Deployment: Confirm all instances are updated using Precogs continuous monitoring.
3. Review Audit Logs: Investigate historical access logs for indicators of compromise related to this attack surface.
4. Implement Defense-in-Depth: Deploy WAF rules, network segmentation, and endpoint detection to limit blast radius.

Defending with Precogs AI

The Windows GDI+ component improperly handles specially crafted TIFF images, causing a buffer overflow. Threat actors attach malicious images in emails or host them online to achieve remote code execution. Precogs Binary Analysis detects unsafe bounds checking in graphic parsing libraries.

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: Dynamic code evaluation
def process_data(user_input):
    # Taint sink: arbitrary code execution
    result = eval(user_input)
    return result

Secure Code Pattern

# ✅ SECURE: Safe parsing
import ast
def process_data(user_input):
    # Sanitized parsing: only evaluates literal structures
    result = ast.literal_eval(user_input)
    return result

How Precogs Detects This

Precogs AI Analysis Engine identifies unsafe dynamic code evaluation paths by tracking untrusted data into sinks like eval() and exec().\n