Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FB28631F100363B5187A3D9B361D31BA6F2A689EB06095542F9D36D8BE7CD0DE2361A |
|
CONTENT
ssdeep
|
384:Oie/y5NgqgwRYWPMqjwGye0MsgcXW4+KPyW6IYsOy2+y9BH4cCUIe:Oie/y5NgcP0EPKPu7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9849c392 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2ccccc300 |
|
VISUAL
wHash
|
00eef6600420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,8c0cccc6caccccc3 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.