Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F14C6E161802B7E415F83C59BB1FFD8E3EA505EFAD90846C2D843A452D3CE4EEAB544 |
|
CONTENT
ssdeep
|
1536:qohanqLqLeje4BraXL2uvUaKrh+07CS+BJTQz2a1kJuNSwkL6ZNEkB6ZBy9B7By0:qohanFhUk6z2MBUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984b673c65671e98 |
|
VISUAL
aHash
|
001c3c3c3c1c1c00 |
|
VISUAL
dHash
|
1771717331392916 |
|
VISUAL
wHash
|
003c7e3c3e3e3e4a |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771717331392916 |
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)