Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18023F7B1F2400579E11B4BD4F232A3E8B0D76A5FDF1BC58843D857E09BD2C8E5CA69A4 |
|
CONTENT
ssdeep
|
768:ZlTDuX+nFqdzvkYeVKyyeZ3XLgVjfX+aGazCU7UDUD:nFqd7kTVnl7ifp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66c63366333333 |
|
VISUAL
aHash
|
1018181818181818 |
|
VISUAL
dHash
|
20203232323232b2 |
|
VISUAL
wHash
|
183c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
20203232323232b2 |
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.