Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC02DE303006788622378BD2F4A15F0C2227D375D7454A79776916B2BFCECE96936BB8 |
|
CONTENT
ssdeep
|
192:lpncbbRgSwrkFTN4Q/FTNVZEu3JMLuLyvENfYNqyTzhBeC3D:PnE7NXJNDEu3uLWCtTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333266666cccccc |
|
VISUAL
aHash
|
e7e7ffe7e7ffffff |
|
VISUAL
dHash
|
4d4d004d4d000c00 |
|
VISUAL
wHash
|
00000000243c3c3c |
|
VISUAL
colorHash
|
07000000606 |
|
VISUAL
cropResistant
|
4d4d004d4d000c00,212101617103230b,4501203030900045 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)