Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EA37A33411935274437C6D530B65B3BD2A69D4FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:ySky5NFZS1Lz4NP3+mZY9svblTOCVr0jxgYNEJFtiuCa28y2OZL:vwLz4NP/y9svbliCd0SFFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aad2ec133 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
92c8c8c2c8ccdc88 |
|
VISUAL
wHash
|
0064ee70003cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,9288c8c2cac8cc9c |
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.