Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED3A4D55618138CA04B8A7DFF2FFE05131FB1AABA554680298EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:8U0RQ7HU7A+eVm5kgc1ztsa0ahGVHlGq0cpkCWyklFsR8MLqczXFsR8MLqcM20:V0RQ7HiADVm5kgc1ztsva6H5yuaE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd0ef0c9c3e2f026 |
|
VISUAL
aHash
|
ff1f030f3fefc7cf |
|
VISUAL
dHash
|
02351e79701e1e9e |
|
VISUAL
wHash
|
ff0f02060ec7c3c6 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
02351e79701e1e9e |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.