Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E2A73563442E3DE65787E9F2B07338626DC289D33B952CF6BC01B16782D49D8276E8 |
|
CONTENT
ssdeep
|
768:nCITA1tYYGvlDyeS0kRcj8rkW6vF0EPpJWG:xvccj2T4FvpJWG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c53f35c4c5c13d |
|
VISUAL
aHash
|
4200787c7c680000 |
|
VISUAL
dHash
|
a659d0c098983891 |
|
VISUAL
wHash
|
fe0c7cfcfc7c0800 |
|
VISUAL
colorHash
|
38400038000 |
|
VISUAL
cropResistant
|
a659d0c098983891 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.