Tag Archives: CVE-2017-5754

Top 5 Most Dangerous CVEs of All Time: Learn from History’s Worst Cybersecurity Threats

Read Time:2 Minute, 24 Second

The Common Vulnerabilities and Exposures (CVE) system is used to identify and track publicly disclosed vulnerabilities and security exposures. Over the years, numerous CVEs have been identified, some of which have been more dangerous than others. In this article, we’ll take a look at some of the most dangerous CVEs ever identified that pose a real threat to your cybersecurity.

  1. Heartbleed (CVE-2014-0160): The Most Dangerous CVE Ever Identified Heartbleed is a security vulnerability in the OpenSSL cryptographic software library. It was discovered in 2014 and is considered one of the most dangerous CVEs ever identified. The vulnerability allowed attackers to steal sensitive information, including passwords and encryption keys, from websites that used OpenSSL. It affected millions of websites, including Yahoo, Airbnb, and the Canada Revenue Agency.
  2. Shellshock (CVE-2014-6271): Vulnerability in the Bash Shell Used by Many Unix-Based Systems Shellshock is a security vulnerability that was discovered in 2014 in the Bash shell used by many Unix-based systems. The vulnerability allowed attackers to execute arbitrary code on vulnerable systems, which could potentially give them complete control over the system. The vulnerability affected many Linux and Unix-based systems, including web servers and routers.
  3. WannaCry (CVE-2017-0144, CVE-2017-0145, CVE-2017-0146, CVE-2017-0147, CVE-2017-0148): Ransomware That Caused Significant Damage to Businesses WannaCry is a type of ransomware that was first identified in 2017. The malware spread rapidly and affected thousands of computers worldwide. It exploited a vulnerability in the Microsoft Windows operating system that allowed it to spread across networks without user interaction. The vulnerability was later patched by Microsoft, but not before WannaCry caused significant damage to businesses and organizations.
  4. Meltdown (CVE-2017-5754): A Security Vulnerability in Modern Microprocessors Meltdown is a security vulnerability that was discovered in 2017 in modern microprocessors. The vulnerability allowed attackers to access sensitive information, including passwords and encryption keys, from a system’s memory. It affected many popular processors, including those from Intel, AMD, and ARM.
  5. Spectre (CVE-2017-5753, CVE-2017-5715): A Difficult-to-Detect and Exploit Security Vulnerability Spectre is a security vulnerability that was discovered in 2017 in modern microprocessors. The vulnerability allowed attackers to access sensitive information, including passwords and encryption keys, from a system’s memory. It affected many popular processors, including those from Intel, AMD, and ARM. Spectre is considered one of the most dangerous CVEs ever identified, as it is difficult to detect and exploit.

The above CVEs are just a few of the most dangerous ever identified. While many vulnerabilities have been discovered and patched over the years, it’s important to remain vigilant and keep your systems up to date with the latest security patches and updates to protect against new and emerging threats. Be sure to watch out for these 5 most dangerous CVEs identified, and take necessary steps to secure your systems against them.

CWE-1264 – Hardware Logic with Insecure De-Synchronization between Control and Data Channels

Read Time:26 Second

Description

The hardware logic for error handling and security checks can incorrectly forward data before the security check is complete.

Modes of Introduction:

– Architecture and Design

 

 

Related Weaknesses

CWE-821
CWE-1037

 

Consequences

Confidentiality: Read Memory, Read Application Data

 

Potential Mitigations

Phase: Architecture and Design

Description: 

CVE References

  • CVE-2017-5754
    • Systems with microprocessors utilizing speculative execution and indirect branch prediction may allow unauthorized disclosure of information to an attacker with local user access via a side-channel analysis of the data cache.