Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9A37B33411935274437C6D130A55B3BE2A6DE5FF9A70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:1S/y5NTKyG6pLz4NP3+mZY9svblTOCVr6sqJvT3urU1L:gYLz4NP/y9svbliCd5Uh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e7381a1d2c56c7 |
|
VISUAL
aHash
|
c0f7f770202c1100 |
|
VISUAL
dHash
|
14ccc6c2c8cdf131 |
|
VISUAL
wHash
|
c2fff770707c3100 |
|
VISUAL
colorHash
|
38000600030 |
|
VISUAL
cropResistant
|
14ccc6c2c8cdf131 |
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.