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Analyze » Amazon Web Services (AWS) » AMA1772792723

Incident Score: Analysis & Impact (AMA1772792723)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident640 / 1000
Company Score After Incident638 / 1000
INCIDENT NUMBERAMA1772792723
Type of Cyber IncidentVulnerability
ATTACK VECTORExploitation of cryptographic library flaws, Man-in-the-middle attacks, Data tampering
DATA EXPOSEDCertificate validation bypass, Signature validation...
INCIDENT DATE05/03/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Amazon Web Services (AWS)'s Vulnerability and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Amazon Web Services (AWS) Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Amazon Web Services (AWS) breach identified under incident ID AMA1772792723.

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 640 and after the incident was 638 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.

Amazon Web Services (AWS) recently reported "AWS-LC Cryptographic Library Flaws Expose Certificate and Signature Validation Risks", a noteworthy cybersecurity incident.

Amazon has disclosed three critical vulnerabilities in AWS-LC, its open-source cryptographic library, which could allow attackers to bypass certificate and signature validation or exploit timing side-channel leaks.

The disruption is felt across the environment, affecting AWS-LC v1.41.0–v1.68.x, aws-lc-sys v0.24.0–v0.37.x and AWS-LC-FIPS 3.0.0–3.1.x, and exposing Certificate validation bypass, Signature validation bypass and Potential cryptographic key exposure.

In response, moved swiftly to contain the threat with measures like Patches released for AWS-LC v1.69.0, AWS-LC-FIPS v3.2, aws-lc-sys v0.38.0, aws-lc-sys-fips v0.13.12, and began remediation that includes Immediate upgrades to patched versions and Replacement of specific AES-CCM configurations as a temporary workaround, and stakeholders are being briefed through AWS Security Advisories on GitHub and CVE entries.

The case underscores how and recommending next steps like Immediate upgrade to patched versions of AWS-LC and related packages and Review and replace vulnerable AES-CCM configurations if upgrades are not feasible.

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.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating exploitation of cryptographic library flaws in AWS-LC and Adversary-in-the-Middle (T1557) with moderate to high confidence (80%), supported by evidence indicating risking man-in-the-middle or data tampering attacks. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate confidence (50%), supported by evidence indicating potential cryptographic key exposure via AES-CCM timing side-channel. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Install Root Certificate (T1553.004) with high confidence (90%), supported by evidence indicating bypass certificate and signature validation in PKCS7 objects and Exploitation for Defense Evasion (T1211) with moderate to high confidence (70%), supported by evidence indicating cVE-2026-3336, CVE-2026-3338 allow signature bypass. Under the Collection tactic, the analysis identified Automated Collection (T1119) with lower confidence (40%), supported by evidence indicating timing side-channel in AES-CCM could infer cryptographic state. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating potential message forgery via signature bypass. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Adversary-in-the-Middle (80%)
Credential Access
Unsecured Credentials: Private Keys (50%)
Defense Evasion
Subvert Trust Controls: Install Root Certificate (90%)
Exploitation for Defense Evasion (70%)
Collection
Automated Collection (40%)
Exfiltration
Exfiltration Over C2 Channel (50%)

Sources & References