CVE-2016-1696

Buffer Overflow in google chrome — HIGH (N/A)

Verified by Precogs Threat Research
Last Updated: Feb 10, 2025
Base Score
8.7HIGH

Executive Summary

CVE-2016-1696 is a high severity vulnerability affecting binary-analysis. It is classified as Memory Buffer Overflow. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Precogs AI Analysis Engine identifies this vulnerability class through semantic code property graph tracking, validating boundaries before compilation."

Exploit Probability (EPSS)
Low (1.5%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
binary analysisCWE-119

What is this vulnerability?

CVE-2016-1696 is categorized as a high Buffer Overflow flaw with a CVSS base score of 8.7. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

A security exposure has been identified in the vendor product component. Specifying as google chrome — high (n/a), this vulnerability enables remote or local actors to exploit bounds or logical checks.

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 Score8.7 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N
PublishedFebruary 10, 2025
Last ModifiedFebruary 10, 2025
Related CWEsCWE-119

Impact on Systems

System Compromise: Successful exploitation allows attackers to bypass boundary checks or alter system state.

Privilege Escalation: Attacking logical flows permits standard users to run administrative operations.

Service Disruption: Unvalidated inputs trigger execution faults resulting in denial of service.

How to Fix and Mitigate CVE-2016-1696

  1. Apply Software Updates: Upgrade affected products to their latest non-vulnerable versions immediately.
  2. Strict Input Sanitization: Implement boundary validations and type verification on all user-supplied data.
  3. Run Code Scans: Execute Precogs semantic analysis inside the CI/CD pipeline to catch regressions early.

Defending with Precogs AI

Precogs AI Analysis Engine identifies this vulnerability class through semantic code property graph tracking, validating boundaries before compilation.

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
SourceNetwork packet or file input
VectorData exceeds the allocated buffer bounds during a copy operation
Sinkstrcpy(), memcpy(), or pointer arithmetic
ImpactMemory corruption, Remote Code Execution (RCE)

Vulnerable Code Pattern

// ❌ VULNERABLE: Memory Buffer Overflow
void process_data(char *input) {
    char buffer[64];
    // Taint sink: copies without bounds checking
    strcpy(buffer, input);
}

Secure Code Pattern

// ✅ SECURE: Bounded copy
void process_data(char *input) {
    char buffer[64];
    // Sanitized boundary check
    strncpy(buffer, input, sizeof(buffer) - 1);
    buffer[sizeof(buffer) - 1] = '\0';
}

How Precogs Detects This

Precogs Binary SAST engine explicitly uncovers memory boundary violations and unsafe memory management functions in compiled binaries.

Related Vulnerabilitiesvia CWE-119

Is your system affected?

Precogs AI detects CVE-2016-1696 in compiled binaries, LLMs, and application layers — even without source code access.