Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159622177908438BB730787E9E132379DD6D3D10ECF825881B2F4C2A963E5E92D46259A |
|
CONTENT
ssdeep
|
384:FvtvdvLiKrWP7Vl/rurtuU25tfbPiawtogEi1t7XaoACgss0rdF:FvtvdvLiKrWP7Vlj6tuU2vfbPiaYogEm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90b8eda389bcb0e5 |
|
VISUAL
aHash
|
ff2c0e0e0e0e3078 |
|
VISUAL
dHash
|
3bc83c38f8fce0c0 |
|
VISUAL
wHash
|
ff1c0e0e1e1e3878 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
3bc83c38f8fce0c0 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.