Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF72643164495A37929383DAE370236E33E7D2C7DB0A0B29D6F45719C6CAE86CC2616D |
|
CONTENT
ssdeep
|
384:KyIIoazNVFTjOEQWSmqRukbjFtnyho4c3lc1GVNgf:KyIIzzNzTiEQWSmqRukbjFtnyho4c32D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eded69e9e206 |
|
VISUAL
aHash
|
9904040404ffffff |
|
VISUAL
dHash
|
33ececdcfc4f3426 |
|
VISUAL
wHash
|
9904040404ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2c02232b2b2300fd,cc8e96a8b0736386,704c8d7434262a54,2044c2ccccccc244,fcfcecececdcfcfc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)