Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18462C9A5904125228127DFEAD0FF272A2197D31CCF0610C0CAB40FE7DBCAD5AE91975A |
|
CONTENT
ssdeep
|
384:mkjRnzeflou47GweVexHGqzelmK62UefOzSVeTeeo:mktnze9oVeVeMqzelHgeGzSVeTeeo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0528774b98c72a7 |
|
VISUAL
aHash
|
e4fcf8c8c0c0ffff |
|
VISUAL
dHash
|
8c9481909414bc9c |
|
VISUAL
wHash
|
e4e0e0c0c0c0ffff |
|
VISUAL
colorHash
|
07c01008000 |
|
VISUAL
cropResistant
|
8c9481909414bc9c,b7b6f7ffae2efefc,0707074b9389890d,c9d999c93f3d1c9e,5c582c374b7363db,00000a2212004246 |
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 11143 techniques to evade detection by security scanners and make reverse engineering more difficult.