Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164A28631B0102B3F119B83DD7762F76E9193A249D7890D0993F88B9ECBD6E90D91385B |
|
CONTENT
ssdeep
|
384:a3y5NTqqt2U4LDdZTgPe1AADTpEr2RwZ/4DnnqWc1GOF3IYsOy2+y9BH4ciUIe:a3y5NTqq34APe1AADTpErAwx4Dnw1PZx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763fd3a924cc492 |
|
VISUAL
aHash
|
000030000400ffff |
|
VISUAL
dHash
|
1c48c2e2ccccf100 |
|
VISUAL
wHash
|
80e478702e00ffff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
0028069696200400,7000b00130b08000,1c4cc2c2c8ccc4f0 |
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.