Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EE1F0F1D414ED37435286D9ABF66B1B76D1C349CF02094493F883AF5BDECA0CA22999 |
|
CONTENT
ssdeep
|
96:Tkfh1DtSTBJ8v67GvwSFtGImzFgSXwHFaKXXgHF5cjXFd4/X0Y3zEmSTyR:Qfh1DcD8icttGIm8ZgY48gzEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cf6766ccc4ca2 |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
64b032b214000000 |
|
VISUAL
wHash
|
9100181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
80a2a2a2a2a2a282,0182a2a2a2a2a241,0182a2a2a2a2a280,0000000000000000,74a432b2b2300c10 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)