Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142B382D61628438CA04B996DEF2FFE05131FB0AAB95889801A4FC66CD2DF4D6F71752C |
|
CONTENT
ssdeep
|
768:XyXlW7H1rRf6L7krl0RQ7H1Q/9PyfR8MRERXQHK51qRXoEE/9PyfR8MRERXQHK5E:Cu0RQ7H1QFsR8MLqcnEFsR8MLqceWv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83bc3c3c7363434 |
|
VISUAL
aHash
|
ffd987879fcfdfdf |
|
VISUAL
dHash
|
6b333d3f331f3736 |
|
VISUAL
wHash
|
bf818787c38383d3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
6b333d3f331f3736 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.