Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D534BE43701F2315A7341E741AF7515733DB52B180C09A0E26DEAEAE5B84BAB05BFC9 |
|
CONTENT
ssdeep
|
768:FFYjqQ5XA/gvX3JRTHKnTpidGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/3:/Q5XAYvX3HKTpazev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18d8e9b66666664 |
|
VISUAL
aHash
|
e7cfc3c3c3c7c7c3 |
|
VISUAL
dHash
|
4c10161e1e1e1e0e |
|
VISUAL
wHash
|
00cfc3c3c3c3c7c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c10161e1e1e1e0e |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.