Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE06AD13E3560609A27658D4B05F7B6639480B8EA7064AF07BADCB39ECCF1773360799 |
|
CONTENT
ssdeep
|
6144:hYBQTcJI9RPdPhLqVkr0jRdmZ+nzSA6I+oZSqvpwKrMs:OuqI+nzSA6IxSIwKrMs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a65cf20758a74 |
|
VISUAL
aHash
|
e7ffc3c3c3ffc3c3 |
|
VISUAL
dHash
|
96968e8e96089686 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
06006000200 |
|
VISUAL
cropResistant
|
96968e8e96089686,5256562b0b56565f,91c9ad52d26babed |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)