Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFE2857710449A7F11D782CAB6B4BB1EE2D6D24ACB571A9567E4830D07D3EC0CD33AA2 |
|
CONTENT
ssdeep
|
384:cKxMcEJ4YDu+IYOHzPE1HRoVSUJNIL0BljeLtAK2HsugaMm/Uhj7cpaWmmgTq:cKxMxJbu+IH2xoAIymUtEMkccpaW7Sq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b9b887bdb34844 |
|
VISUAL
aHash
|
ffff002032342400 |
|
VISUAL
dHash
|
7be3c16ce4ccccb0 |
|
VISUAL
wHash
|
fffc702036766600 |
|
VISUAL
colorHash
|
39200418000 |
|
VISUAL
cropResistant
|
82005b6363434081,f48c16565a9280c0,0020046871700c20,c4e16cecc4ccccb1 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.