Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A315134A0142D57E153E5987AF26B1732D9C782C2435B2A42F8879E99DEF838E603CC |
|
CONTENT
ssdeep
|
48:E9acOGNN1c6v85HGvs2H3vASNoi3dURaGdU0B+:E9aQ1c6v85iPRNow4aWq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3cc8c7332cc3326 |
|
VISUAL
aHash
|
fefefcfce0e0f8e0 |
|
VISUAL
dHash
|
0010282a4c4c3000 |
|
VISUAL
wHash
|
f8f8f8f8e0f8c0c0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0010282a4c4c3000 |
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)