Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1C251B2A1012A3F02A7C2C97361FF5EA2E3934DD786181653FD476E1BE6E40DD23916 |
|
CONTENT
ssdeep
|
768:cSXy5NGuCPQQKU1cKE3HFCoAzmY7sOy2+y9BH4c1Ie:UCPQQKU1glCohY7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d06d8483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbe3cc6cb600 |
|
VISUAL
wHash
|
80ed61300c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c09cbc3c3cccc36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.