Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1097288A792C014361C1BDAA6EE5297DEAE6FC097C3625D0092FE53C84786FFDE536101 |
|
CONTENT
ssdeep
|
384:A3HrOJSaCdcmo963UDTy1oDol+Kz+zge4YNHPpEz+SqHNtsMsG/24qmOa:A3LOJ39YUPFCa5iz+SqHncGD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7436c4e4c6c4a79 |
|
VISUAL
aHash
|
00e700b63cffffff |
|
VISUAL
dHash
|
274c596c688d0e3b |
|
VISUAL
wHash
|
00000032b6ffffff |
|
VISUAL
colorHash
|
07000000c40 |
|
VISUAL
cropResistant
|
275c586c684c0e3b,0001030701010100 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)