Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD14C6E161802B7E415F87C59BB1FFDCE3EA505EFA950846C2E843A452D3CE0EEAB544 |
|
CONTENT
ssdeep
|
3072:ulUY3KPY3K7ohankkUm1lUY3KaGMBUBbB7ByBS:ikU2GMBUBbB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849673665635f98 |
|
VISUAL
aHash
|
001c3c3c1c3c3c00 |
|
VISUAL
dHash
|
1771713331296916 |
|
VISUAL
wHash
|
003c7c3c3c3e7e6a |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
62329aa2b2aa332b,1771713331296916 |
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)