Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F14C5E160902B7E415F83C59BB5FFDCE3EA505EFA890846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:wohanJLqLej64BraXn2uvUaKr65092O7tULYOLtMid4icVzKPjq6AB6ZBy9B7By0:wohaniFU4ZABUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984b673465671e9c |
|
VISUAL
aHash
|
001c3c3c1c1c3c00 |
|
VISUAL
dHash
|
1771713331392914 |
|
VISUAL
wHash
|
003c7c3c3c1e7e4e |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771713331392914 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)