Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1807257F481B6853B12B3E2C2A1AA576B75E0920FD647026157FD83BD4BDECD2FD1240A |
|
CONTENT
ssdeep
|
384:JI/7I//jE2C4rk+iuNQRk079xNrBRdn6fEpU:W/E/7U+iuN0x9PNi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1663433c3e3c3c |
|
VISUAL
aHash
|
00ffdfdfdfff8183 |
|
VISUAL
dHash
|
6dec343830582b2b |
|
VISUAL
wHash
|
00fe9e9e9cff8101 |
|
VISUAL
colorHash
|
07000600040 |
|
VISUAL
cropResistant
|
4c3c3038346b2b23,ffff2f2d2f3f7fff |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.