Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F2C7B432501BBD11C387B5F311BB6AA1B8E7C5CB5BC629F2EC82A51BC6C58CD117A4 |
|
CONTENT
ssdeep
|
768:QbzoUL+2mydSPjyH3apE1Nz1ttwEgpw3Oqo7v2gC7KqpNif3K/WbuNbLcn:wzopBqTx/dNbLK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c63939b6c6c21e |
|
VISUAL
aHash
|
7600747606600000 |
|
VISUAL
dHash
|
441ac5c44cc80000 |
|
VISUAL
wHash
|
fcc0fef6f6e08080 |
|
VISUAL
colorHash
|
38202000080 |
|
VISUAL
cropResistant
|
441ac5c44cc80000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.