Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8F29270F4A0CD6A069741D0F7F7E758026DA282CF1119F993DD039B9B96E8CA79F209 |
|
CONTENT
ssdeep
|
384:XtOauxpHj8CfIpqKaeU9m9NlXbmzPFHoWzoRo7TKgLiHU1Dgi:dOauxpDDfIk7fSCFHoWOYRLi2T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7c738d730c4c6 |
|
VISUAL
aHash
|
ffdfdfcfcfc3c3ff |
|
VISUAL
dHash
|
9a9ab099999e9e6a |
|
VISUAL
wHash
|
4e0b1f8f8d8181fe |
|
VISUAL
colorHash
|
07402000002 |
|
VISUAL
cropResistant
|
9a9ab099999e9e6a,46d1c88aa1948110 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.