Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC29672A000273F43A393C9B751B75E92D3928DDA4A4D0592F8936E4B97F90CD2376B |
|
CONTENT
ssdeep
|
384:Ye/y5NgX2I7P2327KCe8HXNv2x1jgCQWlt/vIYsOy2+y9BH4ciUIe:Ye/y5NgXFJFNvklF7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc389c29c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044cccc2cccdc300 |
|
VISUAL
wHash
|
80f6f6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940ccccec0cccdc3 |
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.