Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A46364B190B59537028EF2D0B636572F76C3C78BD6860BE2A2FC43681AD5DD1DE23509 |
|
CONTENT
ssdeep
|
1536:22TxMkvdqI1Mq6CKFbQd+rsu3xMkvdqI1Mq6CKl2qPr6CWmCSLS8/x31R3SejANQ:zhLiqjmc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce653131cecf3330 |
|
VISUAL
aHash
|
00003c3c3c3c3c3c |
|
VISUAL
dHash
|
d960616161797961 |
|
VISUAL
wHash
|
243c3c3c3c3c3e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
b2b2b6a3e1f3d3d3,d960616161797961 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.