Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D2F92756441A0C134282E2F1D9F92FAA499392CB035F61D7944F7ABEC47BA3B7631C |
|
CONTENT
ssdeep
|
384:G633v3Y3VRv1RgRQFBRxRuRJRkOJ/f+Sw5oK0EbsbLlIEiCcK72XrvuRMGpvwCED:GqOSw5oK6EPaSc4cguUafKeHb1ZOlD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b648e996d9a29c6 |
|
VISUAL
aHash
|
183c3c08183c3c3c |
|
VISUAL
dHash
|
f068687870796969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30000010408 |
|
VISUAL
cropResistant
|
d4d4cc6e229296b4,f068687870796969 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)