Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115F113E1C044DD3A135386E5B7F5275FB696C345CF020E8853F892AB5BDBCA0CA13A99 |
|
CONTENT
ssdeep
|
96:TkU8p7khOlzH0X0eGnVk8yEBXwvFqehX4HFEe9Xpz/XVkXHQ6R:QU87khOlzH0Xsn7yEyWpHzP2HQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834347b8bc6cbc |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
cccd32000aa30000 |
|
VISUAL
wHash
|
243cffffff300000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94b5a984b4e,40203830302c0810,3448c9d4c9ccc42a,a2a3188200000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.