Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11741763490AE892365E6E1ECA5F74B1E79E28B18C997130037FCD38D2BDAD44ED83104 |
|
CONTENT
ssdeep
|
24:hR/C5Fy1kL9eAuKIYnkJc5qVqUTjP269b6iN9iLO+VYAD0w7RQiTt6q:TmMkLcvKr04UOeblHB+awRQqtD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8ce333e39111f3 |
|
VISUAL
aHash
|
ffff3c1800000070 |
|
VISUAL
dHash
|
d0b0b2b0c02080c0 |
|
VISUAL
wHash
|
ffffff38000000f8 |
|
VISUAL
colorHash
|
30000000007 |
|
VISUAL
cropResistant
|
d0b0b2b0c02080c0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.