Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC8345195683B967A1136388B96B8B5C536BF21CC732C68877F94175EBFF821273248C |
|
CONTENT
ssdeep
|
1536:cayRhIZX14V+tuoRHjixLSYB2dMz7QwXcRDsglblCl7l4lKlCljl0l2lIl+l3lk/:ECpCJoaCBkGY+VwgA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92f46d5b92949369 |
|
VISUAL
aHash
|
00002e2e0c0c0000 |
|
VISUAL
dHash
|
9c33cccce9e92703 |
|
VISUAL
wHash
|
c6c0fe7e2f7d0101 |
|
VISUAL
colorHash
|
38002600040 |
|
VISUAL
cropResistant
|
dbc3c5e1e2c2a2a2,9c33cccce9e92703 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.