Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EF28532A251AE3B40B7D2E5F3A5636F32D2938AC942024583FD43BD0BEBD94FD26554 |
|
CONTENT
ssdeep
|
768:tYaUiarxhLDXIRAwQjq9AoAV9AvphCg0uf/bUmjCHMa:tYaUrDXIREuf/bUmkMa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2ac3cb5c2b712a |
|
VISUAL
aHash
|
999f8f8f97fffffe |
|
VISUAL
dHash
|
2b343c3b3543232c |
|
VISUAL
wHash
|
991f070d00b0fbfe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
2b343c3b3543232c |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.