Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F738AF0C292E97315A3C4EAE6A49F5F73D2920DCED3174613FCA3995AD5CAAEC19400 |
|
CONTENT
ssdeep
|
768:uk83D+yblciaHDA6ZAmjG4ksqKpaYyeJnIZ+/wxUwncBovOczB88xfsDLYSNNibT:uk8381ex |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be9ee1c1c362c349 |
|
VISUAL
aHash
|
ff9f87879ffb81ff |
|
VISUAL
dHash
|
27322c2c3013232b |
|
VISUAL
wHash
|
b39f87879f8181c1 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
27322c2c3013232b,6408000000000000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.