Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF40AF0E75C11FC950F47ED8A31687C336E30B7B9128078896CBAB86553668CE97CA5 |
|
CONTENT
ssdeep
|
3072:tZNeLTpSnScVi1DVCqyTYUegDxc9UqiPb6x91Hx8PJuV7x:0CS9ypF81HxqJuf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3894d47cf6e2053 |
|
VISUAL
aHash
|
00ffcf9f0f05001f |
|
VISUAL
dHash
|
e2989f375ccd6d72 |
|
VISUAL
wHash
|
00ffcf9f0f05009f |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
a280a28282a280a2,d09caf351a5ccd8d,2e2a28286e79771b,6969703830134e00,0de2e2e20c40d050,9caf3518dd8d6970 |
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 139 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)