Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16654AD234159692A4437C3C034799B7AD5A6DE8BFAA70A014FEC87F73AFDC50741A22D |
|
CONTENT
ssdeep
|
1536:0R/HUgQmTa3MZo+Hd1+40VNO791DQd+Smfu4/ZT4oU5yd0CaItzLChDV5ce37N4D:UOQoysfQwRDV5ce37NS4Y4u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba1af4f5110d1cd6 |
|
VISUAL
aHash
|
00a00001ffdffbff |
|
VISUAL
dHash
|
8c4d692bb937271e |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
8c4d692bb937271e,0000006c6e601000,0081618191410181,8382212143439286,5c26e627474d1387 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.