Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1657243F44129ED7F078783D8B7329F176396C294C6861349D6EE93ED0EE3C50C99A264 |
|
CONTENT
ssdeep
|
192:d4zWWJ8RcwaTNH4cKbcWUXz1Lx5pL778mSf/pkm4iXMbatNJrmUoppN/OKpX4QHA:d4zVJpNqYEmd2mTO24QHEOo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f04630ded6d36193 |
|
VISUAL
aHash
|
ffc3c3c3ffffcfc3 |
|
VISUAL
dHash
|
e886969661609a96 |
|
VISUAL
wHash
|
7e818181ffff8181 |
|
VISUAL
colorHash
|
07406000000 |
|
VISUAL
cropResistant
|
e886969661609a96,010ae8d89bd3e4ec,cfc171240e4b99a9,fcfff56e4cb2b130 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.