Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14181B82150501C6B6542D3D1B7FDFB8D32D94286D6864F08B2EC1BEE6BEAEDDD412120 |
|
CONTENT
ssdeep
|
96:ufEzujkg5es2Z3eKQUisFJeLTRsYip8sBQoHThY7VBQqG:kjf8yB1n8HThaVlG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9da33372cc4d23 |
|
VISUAL
aHash
|
ff7f1f1800000000 |
|
VISUAL
dHash
|
fcf0b2b0dcfeecac |
|
VISUAL
wHash
|
ffff7f1e04000f00 |
|
VISUAL
colorHash
|
1bc00010000 |
|
VISUAL
cropResistant
|
f0f0c888c8ce8888,fcf0b2b0dcfeecac |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)