Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F23D57150C86B6B828382C5A351DA0FE3E98044F27AC65DF5D9832E1ACCD9DCD27B9D |
|
CONTENT
ssdeep
|
768:1iYm/Dz29081bw29AhQYO/lm52GcQRq4wvn+Q0ywHHKWIget:1iYm/Dzm081bf9AhQYO/lH5V7vnCKWI3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacbcac896 |
|
VISUAL
aHash
|
fd060606060efff9 |
|
VISUAL
dHash
|
71ccecccecfc3b33 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0021496161490152,96d6e8b094710f8e,8030330c33337313,ccccecccccececec,3694cd4859df1fd7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)