Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A36A33411935274437C6D130A55B3BE2E69D9FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:BSvy5NwkQgLz4NP3+mZY9svblTOCVrIgfhVy8oFtiuCa28y2OZL:hRLz4NP/y9svbliCdBqDFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34af53ab9398c43 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
8cc0c0c8cde7ceca |
|
VISUAL
wHash
|
00fc7830263763ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
808081103000a080,8cc0c0c2c8cda7ce |
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.