Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137D38BB3815579230173C2D920B9577BE2918E8FFA930A040FECDBEA67EEC917427519 |
|
CONTENT
ssdeep
|
1536:WlERLDSUr4c0k9d67NLXImI7Ft281702a6dpQExhEJLvSGrUcckDOTxA2oPpUaNu:WQqUrI+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e346981abc1966ee |
|
VISUAL
aHash
|
0000e1616120ffff |
|
VISUAL
dHash
|
b4cfcbcbcbcbd816 |
|
VISUAL
wHash
|
0000e1e1e1e1ffff |
|
VISUAL
colorHash
|
09000038000 |
|
VISUAL
cropResistant
|
533525ead6989c4c,4d181646933468ac,538d9c1102184423,cbcbcbc91a781616,3746968496962656,b4cccfcbcbcbcbd8 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.