Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB736171A084AB3B40DB96D69272572673F9834AC7270789F6F9C7EA0FDBC18D923144 |
|
CONTENT
ssdeep
|
1536:Jssx6IcXc2UOhtg0RkrBP1dFjvj+CiJ7ZF:JuFRgBP1dFjvKJ7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a503d55c95e3659a |
|
VISUAL
aHash
|
0f0303030303ffff |
|
VISUAL
dHash
|
feffffffbfb72baa |
|
VISUAL
wHash
|
0f0703030703ffff |
|
VISUAL
colorHash
|
06000440018 |
|
VISUAL
cropResistant
|
fafeffffffffbfb7,0002c92a23aaaaa2,f7ffdf7fefdfdfdd,b7b2aba9b9b124a4,0000010101010000 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.