Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCF29AB9895900FBB60AB7C0A4032729ADD1CD2F55924E0C93BADBD0EFE6CB5C55D720 |
|
CONTENT
ssdeep
|
192:+q3A/7aW7Qq1ruB9OGEprui9RJ6kctVXhQ/Efq8BJwObqfwY6SP/:+3RcLep3RJktVXhNLbkwYnP/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e9c9d1a2a6b4587 |
|
VISUAL
aHash
|
1efe3e8021000002 |
|
VISUAL
dHash
|
383066496d1d5c44 |
|
VISUAL
wHash
|
9effbea4b5840026 |
|
VISUAL
colorHash
|
31403000000 |
|
VISUAL
cropResistant
|
ec2cf2e8e834a5e9,24a6f464f0e16363,383066496d1d5c44 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.