Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF63F68A5452602A472740F388B70FC977794C2FF92905E195B887F6B39DCB1316BB4B |
|
CONTENT
ssdeep
|
768:cXaXNXMyWuuPW5yzQ/uFMX8U+nwvojnU6MjcNx13Nw56/TOa75flaDdS660Fn+7M:FPuZM+yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad2c656c65253e3c |
|
VISUAL
aHash
|
033f1f3f1b1ffffb |
|
VISUAL
dHash
|
867676d6766e4a42 |
|
VISUAL
wHash
|
033f0f3f030f272b |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
867676d6766e4a42,0008066969692d12 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)