Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195045D32C315152A027786C8B227775E2482A64FCB460D70F3FD62BA7ECED21BD5925E |
|
CONTENT
ssdeep
|
1536:8ORGdh91WtL1e1Ee6eTgeaezeBeUe3eIe/eqe5eOexexeceXeKepekeGe0eGe/eB:8O4f/2GXzvvBxS2cnpcQmv1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb35b4d2c28f0f2c |
|
VISUAL
aHash
|
ffc381bd3d3d3d3d |
|
VISUAL
dHash
|
cc0f334159595959 |
|
VISUAL
wHash
|
4781813d3d3d3d3c |
|
VISUAL
colorHash
|
0e000c00018 |
|
VISUAL
cropResistant
|
cc0f334159595959,e080008000000000,0f21d4c0d4d4d4d4 |
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 654 techniques to evade detection by security scanners and make reverse engineering more difficult.