Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19724B8A3626C547E1A6B4FC5B514272D74C6A04FCD8546D2F2BEC3A863FACE135216C3 |
|
CONTENT
ssdeep
|
6144:I/4z7/1P4SqHcnRbiTJTvme1SsBI4v366jhtt:TzMo4v366F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c479b01b4e574b96 |
|
VISUAL
aHash
|
00ff00000000ffff |
|
VISUAL
dHash
|
a016d2e0e2d0aca6 |
|
VISUAL
wHash
|
00ffff000000ffff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
0002699696611600,11c88ca68cacae86,006092a4a4926000,d2c2e460c284d0c0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.