Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AA37B33411935274437C6D130A55B3BD2A79A5FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:9Sjy5NCI9QsLz4NP3+mZY9svblTOCVrfyES0nB+FtiuCa28y2OZL:9FLz4NP/y9svbliCd+00FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9264fc32ed3c9269 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc8e8d9dc3df2 |
|
VISUAL
wHash
|
c0fefe10644e00ff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca4d714d4d715596,008081303000a000,8cccc8c8c0dccc33 |
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.