Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B234BB26322B8A843DB91EEB7383D55B2C1488DF8CB4554F5C95ACD23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8g4vDawJMZBHw7MZBow9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:an+EsZ/8DvDawJMZBHw7MZBowh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec29c6dc3c21c |
|
VISUAL
aHash
|
9f87878199dfffff |
|
VISUAL
dHash
|
2d3d3d1333300000 |
|
VISUAL
wHash
|
8500010181ffffff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
2d3d3d1333300000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.