Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F02137031401AB742D39BF1F3A0AB6FE2A9C684C617D689B2F9C35A1BCBC14CD55750 |
|
CONTENT
ssdeep
|
192:w/7Xefb9AwmunMm6t2xIu1ULtu2a72v/R4gyDUIELg:w/7y9AwmunMjcxI6UU2aS4XUIELg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d27071f0d2f170f4 |
|
VISUAL
aHash
|
4400003c3c007c7e |
|
VISUAL
dHash
|
9c60966860b2e0e0 |
|
VISUAL
wHash
|
4400183c3c7e7eff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9c60966860b2e0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.