Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123A2D823B150633F027313D6B766536EB3A66309EB8E055096F8832C5BE3D95EC3B169 |
|
CONTENT
ssdeep
|
384:Aw16ymt70f/44dfhlKyuTuGq/Fx1a5QvIolgRduFM0uvVrcgAxx5DVPC:Aw16yc7cRuyR1a5EhgDlwE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fcf60f1079c6887 |
|
VISUAL
aHash
|
ffffff3f3fff9f00 |
|
VISUAL
dHash
|
41606170403374c5 |
|
VISUAL
wHash
|
fbff3d3f3f000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4548617150813274,000373cbcb330300 |
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 1160 techniques to evade detection by security scanners and make reverse engineering more difficult.