TL;DR: Unosecur's analysis of Snowflake-linked account abuse finds valid credentials and session tokens can bypass cloud trust controls without any platform compromise. Practitioners need phishing-resistant MFA, token governance and runtime behavioural monitoring to reduce repeated access and large-scale data exposure.
Editorial analysis by NHI Mgmt Group, based on content published by Unosecur: “From Snowflake to Avalanche: Battling the Growing Threat of Impersonation Attacks”.
Key questions
Q: Why do missing MFA and token abuse make cloud database breaches worse?
A: Missing MFA makes it easier to turn a stolen password into a live session, and token abuse extends that access beyond the original login event.
Q: How do security teams know if impersonation detection is actually working?
A: It is working if high-risk requests are consistently challenged, blocked, or escalated when the claimant cannot satisfy stronger proofing controls.
Q: What breaks when cloud project identity can be impersonated?
A: When project identity can be copied, defenders lose confidence that naming, folder placement, or console visibility reflects legitimacy.
Practitioner guidance
- Harden MFA for cloud data access Require phishing-resistant MFA for all human accounts that can reach cloud databases, especially admin, analyst, and support paths.
- Inventory and rotate token issuance paths Map where authentication tokens are created, how long they remain valid, and who can revoke them.
- Add behavioural checks to cloud sign-in Flag impossible travel, unusual API patterns, new geolocations, and atypical session duration for database access.
Bottom line: The breach pattern shows that valid credentials and session tokens can be enough to bypass cloud trust controls without any platform compromise.
Glossary terms: Impersonation, Token abuse, Identity Governance, Runtime Verification
What's in the full article
Unosecur's full blog covers the operational detail this post intentionally leaves for the source:
- Timeline detail for the Snowflake-linked account abuse pattern across Ticketmaster and related victims
- The specific attacker behaviours described by Unosecur, including token generation and use of compromised accounts
- Practical cloud identity controls discussed in the article, such as MFA and access-hardening recommendations
- The article's own FAQ guidance on impersonation detection, lateral movement, and monitoring signals
👉 Read Unosecur's analysis of Snowflake-linked impersonation attacks and cloud identity gaps →
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
Impersonation is an identity governance failure before it is a data breach. The article shows that once an attacker can present valid credentials and generate tokens, the cloud service cannot reliably distinguish a legitimate user from a hijacked one. The control gap is not only missing MFA. It is the assumption that successful authentication equals trustworthy identity. Practitioners should treat impersonation as a governance problem across account proofing, session control, and continuous verification.
A few things that frame the scale:
- Impersonation fraud accounted for over 85% of all fraud attacks in 2025.
A question worth separating out:
Q: What should organisations do when a cloud account has been accessed with stolen credentials?
A: When stolen credentials are suspected, organisations should disable or reset the affected account, revoke active sessions, review recent access and configuration changes, and check for lateral movement into connected systems. They should also notify impacted users, preserve logs for investigation, and strengthen controls such as MFA and phishing-resistant authentication before returning the account to normal use.
👉 Read our full editorial: Snowflake-linked impersonation attacks expose cloud identity gaps