Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CA209B062B8236E568783F5A51B63E821EE651FF2738050E6FC02B957CACD2FD23540 |
|
CONTENT
ssdeep
|
384:MCQS10l8Q8WE898GDJVAFZnuyr17mpS/BHYO86tM7X/+ATcf2W++TaXv:MC+lPNEsPDTmuy57mpS/ZYYIcf2W+++f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e76d656398989a98 |
|
VISUAL
aHash
|
c3c3dfdfe7e7e3e7 |
|
VISUAL
dHash
|
0e062c2c0e4c4e4e |
|
VISUAL
wHash
|
0f038783e3e7e2e2 |
|
VISUAL
colorHash
|
07201000006 |
|
VISUAL
cropResistant
|
0e062c2c0e4c4e4e |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.