Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110B3DC23411935274433C2D134AA5B3BD1B6D99BFAE70A410EECC7FA2BFACA0745B519 |
|
CONTENT
ssdeep
|
1536:W83otpR4nXBKpSpFl26vvQWOuy+iCknwNJdkeIvT:+UMBKi2dLIvT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9757ea581dcd4861 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
786ccc7cfc3c002b |
|
VISUAL
wHash
|
0026040e02ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,b96a34bdadadbcd8,0002418181410200,b4b4b9ada4a636d6,8000618181410080,00204181a1014180,8a9a16b29a5aa692,7c002956562b2b2b,486ccccc6c7cdcfc |
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.