Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143335B726371B8A883DF52EEE7382E49B2C6459DF8C74550F1C99A9D13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:a+9sp+EsZ/81JDVRsMQBHRcMQBUrpRXPZlQaQD9OehM+BrUgq4FJ:a+9s2wR0RlrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be1ec2d2c2c21fb4 |
|
VISUAL
aHash
|
fc8d079f9f95fff9 |
|
VISUAL
dHash
|
4d717f71353545c3 |
|
VISUAL
wHash
|
fc8101819785f7f9 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
4d717f71353545c3 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)