Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CB1F031B0159C7BC61382D0A2A15B0C7647A7738A46172DE7F0423FAECADD0CE6636A |
|
CONTENT
ssdeep
|
96:dusiusr3IsbcvzEbkkaxhUH4zsgr6hEoigj3THnM3Tm1W3Tm8153Tf1c:M3Vbcv4gfeYbr6hEoZj3THM3Tm83Tm8G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf27c0323fc0c03f |
|
VISUAL
aHash
|
e7ffff0000ffffff |
|
VISUAL
dHash
|
0c49006d7f002955 |
|
VISUAL
wHash
|
e7273f0000ffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c49006d7f002955,fffffffefeffffff |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.