Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A36B33411935274437C6D530A55B3BE2A69D4FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:MSjy5N1FPLLz4NP3+mZY9svblTOCVr7uIR8vzlgFtiuCa28y2OZL:6zLz4NP/y9svbliCd2LKFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363fc32cd1c9069 |
|
VISUAL
aHash
|
00602000000400ff |
|
VISUAL
dHash
|
9cccccf0d9dc3df2 |
|
VISUAL
wHash
|
c0fefe202c4e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccccd0c0dccc33 |
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)