Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110F15817114358627363E8F5E158342B7BD5F896DBB32D04A2F9AB2D6EE7FD0CA24108 |
|
CONTENT
ssdeep
|
192:RWw0OwWwK0MWyLvwkeu4E9e54nMeh9fWao:RWw/wWwK0MJ7wAMg97o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6ce393139939393 |
|
VISUAL
aHash
|
003c7e3c3c7e3c00 |
|
VISUAL
dHash
|
01e4d4d4d4d4d400 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
3a000000000 |
|
VISUAL
cropResistant
|
aa004c0e0e4d4da2,e0888c8d8c0933a2,e8004c0c144e23b2,e0040d4996270f8c,e08c8d8d968c8eb2,01e4d4d4d4d4d400 |
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 137 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)