Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA3E936A5C82667588312E7F7A56F5BD07CC08CE1469208C2FDC3AE06C9CD8E7676D5 |
|
CONTENT
ssdeep
|
1536:awuXzwzWn3OCgeRF5zgBzBz9PaF1oFXSlnhYkNqkMfjGi3yPp/PawHu4JPB219uN:CkzMaeRMy7eahYzf1kp/PtuzO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f609493e492a7ec9 |
|
VISUAL
aHash
|
00efffffff8783f0 |
|
VISUAL
dHash
|
139c140c452c2f42 |
|
VISUAL
wHash
|
00e7ffe7e7878080 |
|
VISUAL
colorHash
|
07201010080 |
|
VISUAL
cropResistant
|
006b632b2b630304,1e1c1e0e2c2c2b4a,1008343232100800 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.