Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F27331A2559D3B40A7D2E6E3B5673B32E6938AC907130583FC83BD0BEAD84FD26554 |
|
CONTENT
ssdeep
|
768:u+agx4W//cp2fPlM6GuWq4nDtwKhZaAhT:uO//cp2QnDtwKhj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b12e3c3c6c3cc3 |
|
VISUAL
aHash
|
016c6c6e6c006070 |
|
VISUAL
dHash
|
33c8c8dcc820c2c5 |
|
VISUAL
wHash
|
016c6c7e6caf703c |
|
VISUAL
colorHash
|
38006000001 |
|
VISUAL
cropResistant
|
33c8c8dcc820c2c5 |
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.