Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10741F163A008A97F772683F2F914F2DDC002054DCD51FDD9ADC0C29A839DDD96452AAF |
|
CONTENT
ssdeep
|
48:7frICSvzHzpx/qzPkYXzPlzzzcQbzeu531hDEf6:ZSnOVTr5llEf6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2de0c90d2c2f0f |
|
VISUAL
aHash
|
bbff03133f83ffff |
|
VISUAL
dHash
|
528c6e6664232300 |
|
VISUAL
wHash
|
03e303033381fffe |
|
VISUAL
colorHash
|
07c000000c0 |
|
VISUAL
cropResistant
|
528c6e6664232300 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)