Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D321F309194696312D392D0BBB7AB8F73818344DA230B152BF8C36EAEDFD56CC27195 |
|
CONTENT
ssdeep
|
96:TkwCwADMO8r3gS6O3grGjhf9MRT+co49/vJP42eKoawvACipk+QeGlpIrgrskgdu:4wCwA78HmhZJrXpk+cuLdao+si7VWQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3430cbcfcac53b4 |
|
VISUAL
aHash
|
3c202465e7efff00 |
|
VISUAL
dHash
|
e9c9c949cdc93369 |
|
VISUAL
wHash
|
3c2020e5e7efff00 |
|
VISUAL
colorHash
|
06000200180 |
|
VISUAL
cropResistant
|
e1c9c949cdc9730d,2c2c3c3c2c8c8e86,4541473d31ad5958,ccb0818084a2ac18,0221096961690816 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)