Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE020EF1D440ED3B075386D5A7B9AB4FB6A1C345CA47064093F883AAAFCAC60CF15599 |
|
CONTENT
ssdeep
|
96:Tk2ntlzD71tDlt8v67ZtnESS8ctylPF/46XENwvFQelXNX/v4lytC6bt6OtNSq2J:Q2nrzD715lt8iDK0l42/X4ykkYODSqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b6465c764 |
|
VISUAL
aHash
|
fffff3f3d3ffc3ff |
|
VISUAL
dHash
|
0317262626271706 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0317262626271706,6c337170797d7f7f |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.