Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C72F234B0C33867A833CBD0F8955F1D31579B7ED7084A58A3AC6765ABCACE46922734 |
|
CONTENT
ssdeep
|
384:Z7KuAnCSnE51iHw4XE7cmugwM77RKFZ5LfyLfLCL3LfLCLfLCITzhBeC3D:ZuDCAE51iHw4XE7LJ3RKFZ5LfyLf+L3G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9848767399dcdcd0 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
c08db2b2b2323008 |
|
VISUAL
wHash
|
3e00181818ffff5e |
|
VISUAL
colorHash
|
07001000e00 |
|
VISUAL
cropResistant
|
c08db2b2b2323008 |
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 1817 techniques to evade detection by security scanners and make reverse engineering more difficult.