Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105D28731B110263B52A383C677A1F35EA2F35246DB46090AA3FC835D4BD7E54DE2366A |
|
CONTENT
ssdeep
|
768:XeFy5NdofiD5P/86m1dqN3aD24/B7sOy2+y9BH4cLIe:UfiFP/8bqBM7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43c9c29e3c3 |
|
VISUAL
aHash
|
002060000000ffff |
|
VISUAL
dHash
|
dccccbc3cd8cc300 |
|
VISUAL
wHash
|
00fff1700000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c200c00258d88000,ccccc3cbe1cd8dc0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.