Incident Score: Analysis & Impact (AMA1773707045)

In this Rankiteo incident briefing, we review the Amazon Web Services (AWS) breach identified under incident ID AMA1773707045.

The analysis begins with a detailed overview of Amazon Web Services (AWS)'s information like the linkedin page: https://www.linkedin.com/company/amazon-web-services, the number of followers: 10600547, the industry type: IT Services and IT Consulting and the number of employees: 153837 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 631 and after the incident was 629 with a difference of -2 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Amazon Web Services (AWS) and their customers.

AWS Bedrock recently reported "AWS Bedrock Vulnerability Exposes Sensitive Data via DNS Exfiltration", a noteworthy cybersecurity incident.

Cybersecurity researchers at Phantom Labs (the research arm of BeyondTrust) uncovered a critical flaw in AWS Bedrock’s AgentCore Code Interpreter, allowing attackers to bypass AWS’s Sandbox mode and exfiltrate sensitive data via DNS queries.

The disruption is felt across the environment, affecting AWS Bedrock’s AgentCore Code Interpreter, and exposing Sensitive data (e.g., passwords, customer data, Amazon S3 storage, Secrets Manager).

In response, moved swiftly to contain the threat with measures like AWS initially patched the flaw in November 2025 but withdrew the fix in December 2025. Updated documentation to warn users of the risk, and began remediation that includes AWS opted for documentation updates instead of a new patch. Recommended mitigations include migrating to VPC mode and enforcing least-privilege IAM roles, and stakeholders are being briefed through Public disclosure by Phantom Labs and AWS documentation update.

The case underscores how Publicly disclosed, no active patch, teams are taking away lessons such as AI-powered code execution environments require deeper safeguards beyond perimeter-based controls. Traditional defenses may fail against AI-driven threats, necessitating proactive measures like deception-based security and least-privilege access, and recommending next steps like Migrate critical AgentCore instances from Sandbox to VPC mode for stricter network isolation, Enforce least-privilege IAM roles to limit AI tool permissions and Implement deception-based security (e.g., honey IAM credentials, DNS sinkholes), with advisories going out to stakeholders covering AWS updated documentation to warn users of the risk. Security experts recommend proactive mitigations.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.