Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC32767265449D771183E3E6E7709B6F3692C385CE931682A3F8978D1FC7DAACD21208 |
|
CONTENT
ssdeep
|
192:pClPZ0TYO4vRlb4XDYJXkwww2FEHv5UK+5RJoTmzTxvi:w+TYyD0XK+P5UK+BHRi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c66d651b971788e4 |
|
VISUAL
aHash
|
2081793cff7d24ff |
|
VISUAL
dHash
|
6ca3e168e8e94c4c |
|
VISUAL
wHash
|
0080393cbf7d24ff |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
6ca3e168e8e94c4c,0164d398549cb499,6064c6665e3e1603,6b6968626170b30f,0164d39a5018b499,0164d3985018b499,636368626360b30f,6363687271f0730f,0164d398549cb499,0164d398549cb499,01624bc8889c948d |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.