Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BF1FEF1D404ED3B475385DAA7BA6B0B7791C349CB030A4593F883AB5BDAC60CE11699 |
|
CONTENT
ssdeep
|
192:QowZnbzD715lt8iILMSeIMnL544jWIMnLE2w:QowZnf10MSrMnLhTMnLE2w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e6198d4cce1999 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0c0c080c16080800 |
|
VISUAL
wHash
|
2020242400240000 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
0c0c100c0c160808,0000000000000000 |
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.