Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EE32A71F649A429697385C660AA7607B260C20FC40E4A20B754FA7FF5DD8A37523FCE |
|
CONTENT
ssdeep
|
1536:C/UlAm8IyVWDUHfI+D0H49pZUp7tJXqNZqrO8Hf7Ht2KXFfbsQmlo2h2wV9LHd8h:UuSMhXjUMAL98n0dH+Zv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c338c73c346c38cf |
|
VISUAL
aHash
|
007c20003c30707c |
|
VISUAL
dHash
|
06d9c9c4dcc4c4c4 |
|
VISUAL
wHash
|
807c003c7e7c7c7e |
|
VISUAL
colorHash
|
38280001000 |
|
VISUAL
cropResistant
|
3c3839b19c948492,06d9c9c4dcc4c4c4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.