Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117F27432A255AE3740A792E5F3A1632B22E6D38AC9460344C3FC87BD0EE7DD4FD26554 |
|
CONTENT
ssdeep
|
768:hnhhTarxTBnvXIDrt3CG+nolYtKrWdatX1EzzGJthA:5KnvXID5Kk1EAM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e53c3ca5b49495 |
|
VISUAL
aHash
|
06607c6e6e0e0c38 |
|
VISUAL
dHash
|
c4c8c8ccd8b8d8d1 |
|
VISUAL
wHash
|
42607e7e6e0e0e3d |
|
VISUAL
colorHash
|
38000000e40 |
|
VISUAL
cropResistant
|
c4c8c8ccd8b8d8d1 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.