Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BD253B49118566B0587E2D0F671EB1AE3C2D24ECF974A46B3F8835D7AC7CC0EC52226 |
|
CONTENT
ssdeep
|
384:gQ5kUDS1m9YsYGYaYGYZoY8rYnYAYpYQxVBU6kkEEo7VnYLzYz0Y9nY2DleCYSww:9pktR3D5Gat4Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6ab1c8d3636361c |
|
VISUAL
aHash
|
01ffffffffff0000 |
|
VISUAL
dHash
|
73034c4cb200250c |
|
VISUAL
wHash
|
00fbc7c720ff0000 |
|
VISUAL
colorHash
|
0e000030000 |
|
VISUAL
cropResistant
|
7323a84d08102425,fffffdfdedf5f7f7,1008323232300810,000204040c0c0402 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.