Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F80271E1E064DD33075281C6B7FA7B2F76B5C344CB020A9452F853AA17CFDA1CB22999 |
|
CONTENT
ssdeep
|
96:TksIkzYtqOSTB1T98v67ZfFP7WQFWe2X9HFTgaXyHFwMOXbfl/waSTUv+AT431:QsIkzYtkv58ib7W7B4uBfl4XIp8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
817000fc8efe8ebe |
|
VISUAL
aHash
|
4000ffffffffff7f |
|
VISUAL
dHash
|
8ad82020608000d0 |
|
VISUAL
wHash
|
00009f9f9f00ff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8ad82020608000d0,0000000000000000,44aa55ccccaa2a33,80609090a0202040 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.