Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAF187775042E81A6AB18269B550B70CDD938A86E753FDC450E45F2EBBE0F61C801EEF |
|
CONTENT
ssdeep
|
192:HUDizjzXZCWvYxwkj2jfwbWaa6ZT5TheFTHHxie:H/zXXZFYxwkiECP6ZT5TheFT4e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc66cc8c66 |
|
VISUAL
aHash
|
e7e7e7c7c7ffffff |
|
VISUAL
dHash
|
0c0c0c4c0c0c0000 |
|
VISUAL
wHash
|
c0c0c0c0c3c3ffff |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c0c4c0c0c0000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)