Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4C2A875A114673B02A7C3C9B3B5B71E63D3C24ECA8A191143FD836D1BD7E10AE27296 |
|
CONTENT
ssdeep
|
768:Oe4NOXbsS3MZdlaYvVSN297sOy2+y9BH4crIe:iOad0Y0q7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039638bc3ce5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8c800 |
|
VISUAL
wHash
|
027c64306064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccc4c0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)