Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BE222B082508D7F00ABE2C5D730BB5F72E6928ADA57460207F887785FDBC95EC13899 |
|
CONTENT
ssdeep
|
768:9Jl8+52lMvAzh8zVIztZzQCzu660i72zCW3zCPBb1glTaHSQLwFxL4cuIy+aBs8d:Zz+CY3Vcv6zBi1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96d56325646694d |
|
VISUAL
aHash
|
00fbfbffff83ffff |
|
VISUAL
dHash
|
651212021c1b5823 |
|
VISUAL
wHash
|
0083dbfb8f007fb1 |
|
VISUAL
colorHash
|
07001000440 |
|
VISUAL
cropResistant
|
161212021f1bc023,0083036363030300 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)