Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13313B7A3088C313E43AD6748925CB618F7C7802EDB549F906BF9167DDEC2FE09962719 |
|
CONTENT
ssdeep
|
768:xkojzprt4tkX46MEZDrQklS3pWn/EFV+dtN++e4:xkojzpretrKDrQkapUcvSne4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4ce649b1b736c30 |
|
VISUAL
aHash
|
00e7c3e7ffffc3c3 |
|
VISUAL
dHash
|
490e860f3b1f9696 |
|
VISUAL
wHash
|
00c3c3c3cfcfc3c3 |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
490e860f3b1f9696,c0c8ccc8d89acea4,8ac638f1d0cce9ea |
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 1121 techniques to evade detection by security scanners and make reverse engineering more difficult.