Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18243F2B1424010AF0BD3BCD0A8A27F579172C9EAE51F99CD92BC598C2FC1FA2D4D16E5 |
|
CONTENT
ssdeep
|
1536:4aveN3iPiM7nS6iK+dfnIs1Ltsgx7FY7mY7gE7tK7LQ7wOn739:HQ3iPiM7nV/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c609711e3e9e96 |
|
VISUAL
aHash
|
0470fcfdae60001c |
|
VISUAL
dHash
|
4cc26d696cc5c7f0 |
|
VISUAL
wHash
|
0470feffaef0003c |
|
VISUAL
colorHash
|
39001030000 |
|
VISUAL
cropResistant
|
cececce6e2939726,c585cd91b9759599,9a5454525555548a,9292525252529292,4cc26d696cc5c7f0 |
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 972 techniques to evade detection by security scanners and make reverse engineering more difficult.