Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17173947151C76E7B218382D1975CD31AE782E706C7A78A8AEBE8531F22C6CE0DD35138 |
|
CONTENT
ssdeep
|
1536:Zit1TcNDcyO0hnLTd0b/0fiTxB6016x8RQ87c:P6sfgg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a2be376cb4b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ed393331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b8b2b4340,38789d9c8c8c8d8f,3239cd2d2b6c6516,82a28a969696a882,c53a382327400f0e,968fe9d3932b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.