Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA816431915696BB41A3D2E0D7B1571FF3CAC266DE430A06A2F8878DDFCED59ED02019 |
|
CONTENT
ssdeep
|
96:TW+FeUMByYElxz2o4sdrnrRoMLopBgoH/koMc8:6sx34sdrrR7aSykN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9906e639c9e6b29a |
|
VISUAL
aHash
|
ff0000080800ffff |
|
VISUAL
dHash
|
3389697272122c00 |
|
VISUAL
wHash
|
ff000c381808ffff |
|
VISUAL
colorHash
|
32002000180 |
|
VISUAL
cropResistant
|
0040242323228802,3030c0000000002a,3229697272325204 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)