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24/06/2026 10:22 pm
TL;DR: Rainbow table attacks exploit precomputed hash lookups to crack weakly protected password databases, and the article uses LinkedIn, Adobe, and Ubuntu Forums as examples of how hashed credentials can still fall quickly. Salting, stronger hashing, and multi-factor authentication remain the practical barriers that make precomputation far less useful.
NHIMG editorial — based on content published by 1Kosmos: What is a rainbow table attack?
Questions worth separating out
Q: How should security teams protect password databases from rainbow table attacks?
A: Use unique salts for every password, store hashes with a password-specific algorithm, and require multi-factor authentication so a cracked password does not become automatic access.
Q: Why do rainbow tables work against weak password storage?
A: They work because attackers precompute hash outputs for common passwords and reuse that work across many targets.
Q: What do security teams get wrong about hashed passwords?
A: Teams often assume hashing alone is enough.
Practitioner guidance
- Migrate every password store to salted, slow hashing Use unique per-record salts and a password hashing algorithm designed to resist offline cracking, then rehash legacy credentials at the next successful login.
- Reset exposed credentials after any hash dump Treat a stolen hash database as a credential compromise event, not a passive data issue.
- Require multi-factor authentication on all accounts Add a second verification factor so a recovered password alone does not grant access.
What's in the full article
1Kosmos' full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step explanation of how rainbow table chains are built and matched against breached hash databases
- Examples of password storage weaknesses that make precomputed cracking practical in real environments
- A side-by-side comparison of rainbow tables, brute force, and dictionary attacks for implementation teams
- The vendor's own decentralised identity positioning and integration details for existing infrastructure
👉 Read 1Kosmos' explainer on rainbow table attacks and password hash cracking →
Rainbow table attacks: what IAM teams need to fix first?
Explore further
25/06/2026 7:00 am
Rainbow table attacks expose hash storage as an authentication control, not just a data protection control. Once a password database is stolen, the question is whether the stored hashes are still computationally resistant to reuse. If salts are absent or hashing is weak, the breach becomes an authentication failure, not only a storage incident. The practical implication is that identity teams must treat password storage design as part of access governance.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.
A question worth separating out:
Q: What should organisations do after a password hash database is exposed?
A: Assume the hashes can be cracked and respond as though credentials are compromised. Reset affected passwords, revoke sessions, review privilege-bearing accounts first, and check whether the same passwords were reused in other systems.
👉 Read our full editorial: Rainbow table attacks expose weak password hash governance
