Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B363DF714152947B80B382D2A6754B6FA6E2D359EA93038297FC938D0FCFC80FD5199B |
|
CONTENT
ssdeep
|
384:qZSN0g+5a/JIGw6ZAJUXVVsVgeViVvVFVeVjVUVtVEV4eVIzV7VoVcVfVWVdVAVh:fJcn9yZ0awnm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d99932e6ce19630d |
|
VISUAL
aHash
|
ffffd9f8f8e00000 |
|
VISUAL
dHash
|
70301b32620c1ce9 |
|
VISUAL
wHash
|
ffffd8f8f0e00000 |
|
VISUAL
colorHash
|
19006200000 |
|
VISUAL
cropResistant
|
383819193931260d,70301b32620c1ce9,003535d5d5353500,1f9199d6e392119f,64655c9aa88ba8ab |
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.