Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A3ED27421925274837C2D1347A5B3BD1AAD99FFAE70A004EEC87FA2BF9C90745B11D |
|
CONTENT
ssdeep
|
1536:eGtpR4nXBKpSpFl26vmzvWxrjKQV/8fkiVG:lUMLzvWxrjKQV/8fkig |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9310ec3fafc895a4 |
|
VISUAL
aHash
|
ff000e0e0e0effff |
|
VISUAL
dHash
|
23d8dc5858589807 |
|
VISUAL
wHash
|
f8000e0e0e0efeff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
23d8dc5858589807,0140411100002206,81630d0923074705,7d7f7f67735f6e1d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.