Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4234A726322B87843DB91EEE7392D46B2D6589DF8C74450F1C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aouqC+EsZx8/G854PDawqMLBnw5MLBBwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aouqC+EsZ/86PDawqMLBnw5MLBBwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a6f6e3a919190 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4571001531100000 |
|
VISUAL
wHash
|
000001019dffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4571001531100000,000010100c32320c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.