Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA433CB53945B112177341E6B0AF2A9BB33A142BA80C45F0A574CA9D74FC4E9907FF8E |
|
CONTENT
ssdeep
|
768:uyWu1PyW/s/uuCsZ/L5u1nU1T9H+dX8Ujd1H6uvYIxTpSxHyOzxHRBaW/Sy3sIWZ:TH6u4yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916e6e99e1d2906d |
|
VISUAL
aHash
|
f9000e6f0f0f0061 |
|
VISUAL
dHash
|
03b8fc989a9c1ccb |
|
VISUAL
wHash
|
fb000e6f0f0f047f |
|
VISUAL
colorHash
|
394010000c0 |
|
VISUAL
cropResistant
|
fca4a4b0b6facec3,0000000000020408,60c4848484828281,03b8fc989a9c1ccb |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)