Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A20BB181E8A11F161B1BDCEFB2B719533FB13EE3061154FA6CA704A181EC6FC86489 |
|
CONTENT
ssdeep
|
384:A8IgsI/IyqfuZ/IX8DYhv5a7JXsZYpJLvzG9Dy6LLPQRW/j9Yv:A8QmrCX8DYhv5a7JXsZYphqw6LLPQRWi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b66641393d66263d |
|
VISUAL
aHash
|
00fff7f78fffffff |
|
VISUAL
dHash
|
8c4d24e43a1d4c58 |
|
VISUAL
wHash
|
0000f7b78fe78e8e |
|
VISUAL
colorHash
|
06200030040 |
|
VISUAL
cropResistant
|
cc2464243acd5c58,0996969c9c9636c9,e3fde9fbf6ccdaf4,1008303232081000 |
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 2252 techniques to evade detection by security scanners and make reverse engineering more difficult.