Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EF142322608692E1207C3D1A2D1FA1BAB46D586CF605E61D5E58FDFEAC5FB0B57220C |
|
CONTENT
ssdeep
|
192:vOti5y5xooiljl4725YhiG3nm0kM20G0A2Qw/F12ige1Mwk:HJG3m0kdeAe1ML |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0671d394e195d4e |
|
VISUAL
aHash
|
00e7e7e7e7c3c7ff |
|
VISUAL
dHash
|
168e968e8e9e9e0e |
|
VISUAL
wHash
|
00c3c3c3c3c3c3ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
8e8e968e8e9e9e0e,0810323232323008,010931b3b3310d11 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.