Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144A37933411935274437C6D530A55B3BE2E68A4FFAE70A014EECD7EA1BFAC60B45B11A |
|
CONTENT
ssdeep
|
1536:H9Lz4NP/y9svbliCd2Bh+7c5dWaoy4FtiuCa28y2O9:1mAPb+75aoyr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430fd34c547 |
|
VISUAL
aHash
|
02042000000004ff |
|
VISUAL
dHash
|
94ccc4d0c88c8cb2 |
|
VISUAL
wHash
|
467e7c3060c40eff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0080812030008080,94ccc4c0d8c88c8c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)