Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100F2A697214815E5C2F38FD898212950B246EA5FC9718370C2FC4D3A6BE25A5B78CF7E |
|
CONTENT
ssdeep
|
384:Tklm9UeBeuetKIYPQBNtPJegqNvNqJZ6ZpQaND7vbxdbPxbO0vsFijYK/M94UZhy:+YwJXwdrxhs4jY7yUjJoHNYRvjD0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5d22d4dd2a55a2d |
|
VISUAL
aHash
|
ffffffff00000300 |
|
VISUAL
dHash
|
0e0c0e081003c717 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
1e000000180 |
|
VISUAL
cropResistant
|
0c080c0e160e0c14,b6b7aba7cba25555,323017c7c7170706 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.