Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1558321B0524156AF0BC2FAD4A6A37E536072C8F6E21E6EC991F8494C4EC6FD1C8D57E0 |
|
CONTENT
ssdeep
|
1536:GRk5aZdoQDZL92dZ0dyGseLZ4npyrJTSejAzkL2V6cVwMVYTM7xvKxUQSm1Aka1E:GW5aZdoQDZL92dZ0dyGseLZ4np0JTSeP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c466e699b9b0b2 |
|
VISUAL
aHash
|
7e745e5818380010 |
|
VISUAL
dHash
|
f0c4d4b2f0d48c32 |
|
VISUAL
wHash
|
ff7c7e5c3c1c0018 |
|
VISUAL
colorHash
|
31000007000 |
|
VISUAL
cropResistant
|
0812329292a2ac75,71f8704d2cece8d4,f0c4d4b2f0d48c32 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.