Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183F155E1C554DA37071686C6FBF95F4AB691C70ACB030481A7F882BBABC6D70CB2559C |
|
CONTENT
ssdeep
|
192:QWQ9HQmpgOjzeikG0yIM/QgJd10x81qYM/QF7yxikIMng73:QWWHlppZl0/M//Jw85M/u7yiRMn83 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c931b6c136c6c |
|
VISUAL
aHash
|
00fbf1f1f1f3ffff |
|
VISUAL
dHash
|
d806272727269086 |
|
VISUAL
wHash
|
00f1c1f181d1ef7e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
d026272727269086,0000000000000000,dcf033fc68fcfc7f |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.