Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FB167B2A99A643B22B389C635B6132B71E2CE4EDC53051087FD43BD4FEAD90FD06581 |
|
CONTENT
ssdeep
|
96:TGuTaU+4opdRbM/zKlUvi/d/MFKwzUELid+cMxK6Up/g+9E9:XAdRK0dvd+lME9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3464ca977f07c68 |
|
VISUAL
aHash
|
003f77e7e76f0f00 |
|
VISUAL
dHash
|
c5e0ac4e4fdfbbd9 |
|
VISUAL
wHash
|
003f77c7e76f0b00 |
|
VISUAL
colorHash
|
0be00000000 |
|
VISUAL
cropResistant
|
6074b2c34f67e7ed,d3f8fcfafe7e7e1e,4fcfefa7b7b3a9b4,c5e0ac4e4fdfbbd9,4e9c3c396347271c |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)