Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD3D735D2BACAB6005FB3D0E6B06B987287935BE7C217F582E4DA545781CD88C078ED |
|
CONTENT
ssdeep
|
1536:dlEast7j5+IKQ1z2+2k2a2W2Kx2v252qs3ENnBavRIWqiOFIlJrbiX+aavR8Kkia:dlEast7j5+IK0bB316QPxQPM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3671d9639ec861 |
|
VISUAL
aHash
|
003c3434183c3c00 |
|
VISUAL
dHash
|
e0e4e4ecb2b0b0cc |
|
VISUAL
wHash
|
3c7e7e7e183c3c00 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
88292befefe489ac,88aa2be6cfe52988,e0e4e4ecb2b0b0cc |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)