Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA1295E0D4A0AF770B1282D5A7B67B6B76F1C248CB41094453F893AD5BC9CB0CE219AC |
|
CONTENT
ssdeep
|
96:Tkly50z8mnzSJOMbStqRjJ2dt7fyMa0YWYwvFReBXdHFEiXYz/X2g+AT431:QlK0z8mnyV5J2dx7a0YWKLwz/f8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7837c8176817c83 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0008080c0c100000 |
|
VISUAL
wHash
|
3c240404e7ffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000808080c000000,0000002020202020 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.