CVE-2017-5715 Vulnerability
Published: 2/20/2025
Written by: Lizzie Danielson
What is CVE-2017-5715 vulnerability?
CVE-2017-5715, commonly referred to as "Spectre Variant 2," is a hardware vulnerability stemming from speculative execution—a feature in CPUs designed to improve performance by predicting future instructions. This vulnerability can lead to information leakage by exploiting branch target injection, allowing attackers to access privileged memory in impacted systems. CVE-2017-5715 is classified as a speculative execution side-channel vulnerability and has significant implications for data confidentiality and system integrity.
When was it discovered?
CVE-2017-5715 was publicly disclosed in January 2018 by a collaborative effort involving researchers from Google Project Zero, the Graz University of Technology, and major industry vendors like Intel and AMD. Its discovery followed an extensive timeline of research into speculative execution flaws, with patches and mitigation strategies being developed concurrently with the disclosure.
Affected products & versions
Product | Versions Affected |
Intel CPUs | Most models released prior to 2018 |
AMD CPUs | Older Zen-based processors |
ARM Processors | Selected architectures |
CVE-2017-5715 technical description
CVE-2017-5715 leverages branch target injection to manipulate a CPU’s speculative execution process. This occurs when an attacker induces speculative execution by misdirecting the CPU into executing certain instructions, allowing access to data from other processes or privileged memory. Exploits rely on reading this data via side-channel methods such as timing analysis. Notably, while this vulnerability does not allow direct code execution, it enables information leakage, making it particularly dangerous in multi-tenant environments like cloud infrastructures.
Tactics, Techniques & Procedures (TTPs)
Tactics for exploiting CVE-2017-5715 often involve preparing malicious code that takes advantage of branch prediction features in modern processors. Techniques include crafting payloads that optimize speculative execution and using side-channel timing analysis to extract sensitive data. Exploits are frequently carried out in controlled environments, such as cloud-based virtual machine environments.
Indicators of Compromise
Organizations should monitor unusual CPU usage patterns, suspicious virtualized environment logs, and hypervisor anomalies. Indicators also include irregularly timed speculative execution processes and abnormal access to privileged memory addresses via logs or telemetry.
Known proof-of-concepts & exploits
Proof-of-concept exploits for CVE-2017-5715 have been widely documented by security researchers, including demonstrations that leak sensitive data like passwords and encryption keys. Active exploitation campaigns have been rare, given the need for controlled conditions, but documented cases highlight the vulnerability's impact in both desktop and enterprise scenarios.
How to detect CVE-2017-5715 vulnerability?
Detection of CVE-2017-5715 requires leveraging enterprise-grade tools like SIEM systems to monitor speculative execution anomalies and logs. Additionally, host-based detection capabilities can identify unauthorized branch prediction activities. Crafting SIEM detection signatures that focus on irregular branch target predictor behaviors, or leveraging telemetry, can also bolster detection initiatives.
Impact & risk of CVE-2017-5715 vulnerability
The technical impact of CVE-2017-5715 is largely centered on confidentiality, with attackers capable of exfiltrating data from privileged memory. This could lead to the compromise of encryption keys, passwords, or other critical data assets. Businesses reliant on shared computing resources, such as cloud providers, face higher risks, as multi-tenant environments are particularly vulnerable.
Mitigation & remediation strategies
Effective mitigation for CVE-2017-5715 includes applying the latest microcode updates provided by CPU vendors like Intel and AMD. Additionally, operating system patching is critical, as software mitigations developed after disclosure help to address potential exploits. Immediate workarounds include disabling branch prediction features where feasible, though this may impact performance. Enterprises should also enforce virtual environment separation to minimize cross-tenant risks.
CVE-2017-5715 Vulnerability FAQs