Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B5176B145009E771341C5D0DBF5722FD5D38146CEAB068283FE479E19E1E86DD39540 |
|
CONTENT
ssdeep
|
48:Tnmb5AiqCkXFC+gcwoExcIlcC04aCfBUHBNIO9dDWcO:TnsPtkM+bExDlb0QyHBNNd9O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4c69b3864c79b38 |
|
VISUAL
aHash
|
fffff3f3f3f3ffff |
|
VISUAL
dHash
|
0418666626261804 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0418666626261804 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.