Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EE100E1D414ED37435285D9A7F66B0B77D2C349CF02194493F883AF6BDACA0CA2269D |
|
CONTENT
ssdeep
|
96:Tkfq1DtSTBJ8v67GvuSFtGNFhKXxHFLP2XZHF3KXZz/JojY3z7mSTyR:Qfq1DcD8ic3tGMN2Izwgz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4c76f674cc4ca2 |
|
VISUAL
aHash
|
8000181800ffff00 |
|
VISUAL
dHash
|
64b032b214000000 |
|
VISUAL
wHash
|
ff80989880ffff00 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,0000000000000000,74a432b2b2300c10,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)