Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B45276A69114E93B1262C3C9B3B2B29AF7809485CAD3014BD1F9D39D2FE2D72FC16215 |
|
CONTENT
ssdeep
|
96:DcttkF7HUnoGyPs44mGjZzmjK4yYey3qEE8XNH5wGgjdJkGOuhTSaVs6tBFDEejq:wttunFbOOSqwtcWCEM/eTlLtpJ5cTBrn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f30c9cb2636d3392 |
|
VISUAL
aHash
|
001c00c1e7e7ffff |
|
VISUAL
dHash
|
0b704a4f4f0d200d |
|
VISUAL
wHash
|
001c0080e7e7ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0b704a4f4f0d200d,18589a9adcdc5e58 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)