Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C354DD234259352A4037C3E520A95B3BD1AADD8FFAE709410EDCC7F72AFAC90741B599 |
|
CONTENT
ssdeep
|
1536:yrl9tMbXlOJi55R+Ovn03W8mH8ArXvUd0gAK6FyA07G3BserTE4dfp3w7X5G1uzI:CMw5G889kh63+erTE4dBGIdF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c9d29c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32f6cdccccc33cc |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
fc8caeb4b68e8c9e,010184201c4d4c4c,d12f28ccd4cccc33,452549d5e5710145,0996d66d6d6d6c91 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.