Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194131963C24066BB56C743D9B330778DB295B055872507129CEEC749A693CECEA3928F |
|
CONTENT
ssdeep
|
768:8mII5xtaxRPsDcx7YReq5FcZQSJ2t9Z0bmt1V3bsKFHYIYxB0:XIItTDcx7g5hT0SJ3QK4v6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9a9e3e2a8e98ae8 |
|
VISUAL
aHash
|
ff001818183c0038 |
|
VISUAL
dHash
|
cbcc713331f0d0e0 |
|
VISUAL
wHash
|
ff7c3818183c783c |
|
VISUAL
colorHash
|
06400058000 |
|
VISUAL
cropResistant
|
006b634b6b630204,e2e6a1e1e2e2e0e1,f0f0d0d0d45cce86,d4cc333371e8d0c0 |
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 1838 techniques to evade detection by security scanners and make reverse engineering more difficult.