Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108D381D56618438CA157CABCEF2FFE05131FB5AABA588580298EC268D5CF8D1F70752C |
|
CONTENT
ssdeep
|
1536:Ea0RQ7HcIefYEDPuof/e2ikpFsR8MLqc2PFsR8MLqcMv:D0RQ7H/mDFQbm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b262e6e632b119 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0d0c0c0c00001010 |
|
VISUAL
wHash
|
25270303f0f00000 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
0d0c0c140c080000,0000100c10101008 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.