Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123D1D9A3A544240A2222C3C0DEC7F2CD62774B46CB45A82AD5F924A7F6DEDF8C573752 |
|
CONTENT
ssdeep
|
96:UmqEO4YYU54lshPqcvVX/yRy2y1s5YG9tiz95Oi1sdCwSUcS4xdX:TOFwvyoYV9Rw6S4j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
834973670ce7cc66 |
|
VISUAL
aHash
|
00001e3f01ffffff |
|
VISUAL
dHash
|
e2d2f4ecebcecece |
|
VISUAL
wHash
|
00001c0703ffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
f8eceeebcececeea,c0f2c2d4ececeeeb |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)