Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6838633D297190390ABD1C8B172475932918B49C7134B7567BD27BAF9CECB63722398 |
|
CONTENT
ssdeep
|
1536:duQe4i1b7JMeeeefeeRaBvepe/epeaepeveAH7ZeeoepeseJehe8x+NgdQQ7rhM+:+6bju2rruCKx983JUDJNJ6JdJzN1AmTx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e98e69311e93d1c6 |
|
VISUAL
aHash
|
c181f7c3c3cbe9c9 |
|
VISUAL
dHash
|
2b27a527b6d2dbdb |
|
VISUAL
wHash
|
8181ff839acbe9c8 |
|
VISUAL
colorHash
|
01000030000 |
|
VISUAL
cropResistant
|
2b27a527b6d2dbdb,b9b964f1312e2b22,d7693248cccc446c,ce4b5878696b3121,a6969cc4c6a2a24f,93d6492371f1e1e0 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 20 techniques to evade detection by security scanners and make reverse engineering more difficult.