Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15313D83104846F2F959392C8D3106A4BE395854CE6BF8A59F1EAC31B56C9DD4CC2BFAC |
|
CONTENT
ssdeep
|
768:NrA1qLwskLb9uRGVgGhBCDw21ItO/MQKc/+BTGdLTkhQoqE9sEJKP:NrA6w/v9uRGVgMIDwQUO/+cJ18qE9sE4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacb9ac896 |
|
VISUAL
aHash
|
fd0006060604fffb |
|
VISUAL
dHash
|
71ccecccecec3b33 |
|
VISUAL
wHash
|
ff0606060604fffb |
|
VISUAL
colorHash
|
13000000180 |
|
VISUAL
cropResistant
|
0021c96161c9014a,96d6e8b284710f8e,c030334c3b131333,ccccacccccececec,6c6c746c6c767273 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.