Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9A37A33411935274437C6D530A65B3BD2A6994FFAE70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:HSky5N8I6xLz4NP3+mZY9svblTOCVr0SLBn7LBHkFtiuCa28y2OZL:KELz4NP/y9svbliCd0U+FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1ead29c163 |
|
VISUAL
aHash
|
00006000000004ff |
|
VISUAL
dHash
|
92ccc8c2c8cccca8 |
|
VISUAL
wHash
|
0064f470302cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,928cc8cac2c8cccc |
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.