Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F273F932D3461103E04B89D8F1369B4973528749CA138FB576FD27A9EACECF52762398 |
|
CONTENT
ssdeep
|
1536:mdCDSvuSNfOyPHdVuRw096WE/92S+VxLVsVnnKnnnn9eeeeeeeGUnnnMpeeeeyJ9:2WSNFCm+vLSFxk222I2222222ZerpGwo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02ecd31b991ef4c |
|
VISUAL
aHash
|
f9007a6e44407c7f |
|
VISUAL
dHash
|
8aa6e2988a8ad8ba |
|
VISUAL
wHash
|
7b407a4e42427e7e |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
8aa6e2988a8ad8ba,8692939325651f23,8692939325651f23,499964f131272b2b,8692939325651f23,8692939325651f23,4b4b7198d8d08c4d,3692db4bd21a2b2b,2565477747496b21,8692939325651f23,8692939325651f23 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.