Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11654BE234159692A4437C3C134799B7AD1A6DE8BFAA70A014FECC7F77AF9C50740A22D |
|
CONTENT
ssdeep
|
1536:2RcmYUgQmTa3MZo+Hd1+J0HJp9A6td+Smfu4/ZT4oU5y80DpFsj7LKBrFQmKIwm5:lOQBLlfQ5Yj7LKBrD4YR7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba5af4f5110d1c96 |
|
VISUAL
aHash
|
00a00001ffdffbff |
|
VISUAL
dHash
|
8c4d696bb937271c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
8c4d696bb937271c,000000686c641000,0081619191010181,8382212143439286,5c26e627474d1387 |
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.