Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA03623264449A3F12D782C377B46B5EF2DAE389C6671A56A3F4830D07C7E80CE31966 |
|
CONTENT
ssdeep
|
384:AkUbP0K/L/0q4O+ISmcRu+zTCW/fJHhIzCNdDQf2umdTOwkyU/Wq1q:AbP0qx+IZ9SxHhImNGZmdqwg1q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b239cd4d361c3c47 |
|
VISUAL
aHash
|
00ffc7878787ffff |
|
VISUAL
dHash
|
231b0e2c2c3cc8aa |
|
VISUAL
wHash
|
00c783878703fefb |
|
VISUAL
colorHash
|
07202030000 |
|
VISUAL
cropResistant
|
231b2e2c2c3cc8aa,0008046870702004,f0f5bcb9a36958c6 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)