Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172F3976301146A2E4437C3D0B5759B36D1AAD98FFAA70A414FDCC7B63BEAC90B81B51C |
|
CONTENT
ssdeep
|
1536:S/fG2ZwUgQmTa3MZo+Hd1+GM0N1jjC3levHpf+CSkbLMtu2E4yRh/K9Qz:CG2ZwOQhza3oJm5mx29MZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
865be4bb2f83b320 |
|
VISUAL
aHash
|
fd9c1c3c11bff7f3 |
|
VISUAL
dHash
|
49b4bcf4732a2427 |
|
VISUAL
wHash
|
fd1c0c1c0187f3f3 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
49b4bcf4732a2427 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)