Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8126323E600CD2A4D9B56CCF1C49688411DC386FB3148CA71A091FF7BC4DF069A979E |
|
CONTENT
ssdeep
|
192:nd3JHiNdfqxl0xkaEMcnthWeNWb3AzVfMmUU8VCoYy:goabAzVfMmUFCoYy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333d989668cdc8c |
|
VISUAL
aHash
|
e7e7efe7e7ffffff |
|
VISUAL
dHash
|
0c4d1c4d4d000c00 |
|
VISUAL
wHash
|
c4c0c0e0e4f4fdfc |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
0c4d1c4d4d000c00 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.