Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DB352704215743BA21799E0F235676E62A7C74EDE934848C7FD83E49BC3CD8DE26868 |
|
CONTENT
ssdeep
|
3072:uuJOe10LjuJOe10Le0Ofg2RdS4AGzbpQz1A:f04/DS4AGzNQpA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c03bc42fb6cc36e1 |
|
VISUAL
aHash
|
002060000058787e |
|
VISUAL
dHash
|
b4c0d0909af3d0d4 |
|
VISUAL
wHash
|
46786c6848787e7e |
|
VISUAL
colorHash
|
30000c00000 |
|
VISUAL
cropResistant
|
8e80828ea22ad860,d4cccc80ceccaea6,cc4c82743a1b8a80,b4c0d0909af3d0d4 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)