Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E31211305484A8674103A2D2EE299A1E3DD5427FEF934B0152F84B9EA6F2C64CE3F365 |
|
CONTENT
ssdeep
|
96:AnscN2uyGGOZ/NROcMCxjAmxpJcVAfk+GOZjoNWSwiNmXMrH/p/iGOZ1aYVvGvtk:I2pGb61AdhcVA8+bjoHHB/ibJV1v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6c139b2d662e3c |
|
VISUAL
aHash
|
01ff93d3d3ffff3e |
|
VISUAL
dHash
|
7f3226263632e8e8 |
|
VISUAL
wHash
|
00ff938383ff7e00 |
|
VISUAL
colorHash
|
06e00000040 |
|
VISUAL
cropResistant
|
7f3226263632e8e8,3e6d6d7564ecdd0e |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)