Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146334E71A0A4ED3B02EBD2E662B5876F72EAC249CE07031557FD83AC0BC6C95FD22515 |
|
CONTENT
ssdeep
|
768:8E5zbzt8Gwwhu0eRPr0XM82pqCoA3CjwrUDd:8E53R8GwwhutRPcM2jDd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36b683eb22ce193 |
|
VISUAL
aHash
|
816070046e601260 |
|
VISUAL
dHash
|
23c8caccccc132c0 |
|
VISUAL
wHash
|
816070606e60ffff |
|
VISUAL
colorHash
|
38001000c40 |
|
VISUAL
cropResistant
|
0000084e4e4c3000,23c8caccccc132c0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.