Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAD28431B190263F1193C3C97761F71FA2E2924ADA8A090563FD875D4BD7E90EE2352E |
|
CONTENT
ssdeep
|
768:DeFy5Nm/1i4PhcAWmZPehFHYWsc/97sOy2+y9BH4c1Ie:w1i4PhFJePNl7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b929a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc5c3c3cd0cd100 |
|
VISUAL
wHash
|
00fff1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d000c00258d88000,dcccc5c3c3cd0cd0 |
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)