Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB2183614057AC1A92026BD807C3F53EA8C78247CABA240A76F4AA6C76D1F7CC8A9560 |
|
CONTENT
ssdeep
|
24:hMtwc7WWtZMwWIfDMkKBuWWtZZNWtZKKuGgEdk7gf1EiYN9uENR2G0/co2bEGu4a:mtKWtywWIrEXWtFWtLVgs08yHxE2b/kz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a11f7c6bd6c04c1e |
|
VISUAL
aHash
|
00031fff07034f5e |
|
VISUAL
dHash
|
6bdfeecade9babaa |
|
VISUAL
wHash
|
00030fff07037f5f |
|
VISUAL
colorHash
|
02003000040 |
|
VISUAL
cropResistant
|
e696ccf1dcbf9ccf,a8109600f0fc5452,6bdfeecade9babaa |
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 185 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)