Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127C28532A104273B5157A3CDB311F32DE2D39689EB46191553F8879E8BE7E90CE2361B |
|
CONTENT
ssdeep
|
384:RJAe/y5NsxJvJzE2v+tHjtMQZ6LaBV6evZl30dRHjMGIYsOy2+y9BH4cCUIe:vAe/y5NsPxzcL6eWz7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367f83a9c0cc593 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc6cccde300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6cacccdf3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.