Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106635522D3531903A07BC1D8F072078D2291868DC7534B79A7BD63BAB9CFDB63612399 |
|
CONTENT
ssdeep
|
1536:OCzGgK0eGeAyFyzEf0Q57rl4pTMnHmekKweeTdeee5dSeFXsEHKho+zvGJideVeG:kr57rl4p+GUXnqsarq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b76cc917b0809ee9 |
|
VISUAL
aHash
|
c30082c7c706efef |
|
VISUAL
dHash
|
2b66660c0c4c4c0c |
|
VISUAL
wHash
|
c30090c7c706efef |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
2b66660c0c4c4c0c,3836cdce3451c3c5,33b33329b4f4342e,192a67d5f0e9f161,d79393133327192b |
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.