Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D53E8B3C0C65B3B13A363E9E710AF49B38C9149C96546A996E9C39D57C2EB0E43C35C |
|
CONTENT
ssdeep
|
1536:PG0OaWGtr6gLOHYBILqJKrfsSr7CSrT4Srz8RxR9oP7wN:4aW49TZ0PEN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
978c6cd378b69138 |
|
VISUAL
aHash
|
3c3c3e3e0c7e2c00 |
|
VISUAL
dHash
|
f4e4e4f4d8d8ccc1 |
|
VISUAL
wHash
|
7c3c3e3e0c7e7c00 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
13c5e6d1fcfefe7e,939173797892b078,8e1e130f17333333,f4e4e4f4d8d8ccc1 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.