Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E737271A085AB3B00EB95DA9132572673E5834AC7274789F7F9C7EA0FDBC18E923144 |
|
CONTENT
ssdeep
|
1536:vssx5PXc2UMM1lS/pRkro4cdFjvd+CSg7ZF:vySRgo4cdFjvog7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a502d75c95e365d2 |
|
VISUAL
aHash
|
0f0703030303ffff |
|
VISUAL
dHash
|
feffffffffb72a2a |
|
VISUAL
wHash
|
0f0703030703ffff |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
fefeffffffffffb7,0002c92227aaaa46,f7ffffffffffffd9,0000010101010000 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.