Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117323232944B9E1B6447D1DBF670770A22C0C6C69B1627C69EF85B2E77CEDA1DC123A0 |
|
CONTENT
ssdeep
|
192:XoyLv3xpKel3FaOn30eiGmwS6vvlsScx/Wmk4Qdm5tUFKX6vUI/gD7t2nJYlmuPT:Xo+TK8nh3mXEvu3/WV1dKtpqs/ntQilh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1a1880c4c7e77f7 |
|
VISUAL
aHash
|
00ffff0000000000 |
|
VISUAL
dHash
|
a0ca8c8c10000000 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
80c0cc8c808c8cb0,8000008080808080,0000000000000000 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)