Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF1EEF0C115ED3B475281D9A7B62B0B76D1C359CF020944A3F883AF6BCACA0CA2259D |
|
CONTENT
ssdeep
|
96:Tkf9OYReSTJ8v678rS6tchkhMwvFLe1XDHF7e6KX+dX/sNYi35YDdHST5J:Qf9OYx98iYKhkh4J48Xef35idyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f5df51fe008a063 |
|
VISUAL
aHash
|
1818183c3c1c18ff |
|
VISUAL
dHash
|
707030717079790d |
|
VISUAL
wHash
|
1c3c3c3c3c1c18ff |
|
VISUAL
colorHash
|
03600010000 |
|
VISUAL
cropResistant
|
e2e0a2a0a22226be,4d00040000000000,7070303171687169 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)