Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F323A67462083D7D948B87E0F7617B69437CC391E51B91ACA2BC82B15BC3C58EE2B6D0 |
|
CONTENT
ssdeep
|
768:Gd05VQQQQ8QQQQUQQQQ1ATsmdJ0Vt8pR3:meQQQQ8QQQQUQQQQiYWyVkl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c669a1ce38c63b |
|
VISUAL
aHash
|
fffe9e9effcf8f81 |
|
VISUAL
dHash
|
71c03434341c1911 |
|
VISUAL
wHash
|
bcf89c849f8f8d80 |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
71c03434341c1911,9ece8e4ced2929cb |
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.