Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE932AA43A59F5A65AF3439310DF1503B338162B540D4D20A350EDAEB6BCC9BA077FDA |
|
CONTENT
ssdeep
|
1536:cXBdXgWiTVK5BWpHxh8L6g8XXhjaPnQgT+960uJ+3Sc:MXgWiTjDmL6ZXtb967+3x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1c8d526679a7721 |
|
VISUAL
aHash
|
c3dbdddd43070fee |
|
VISUAL
dHash
|
96b23b3b8e8e98cc |
|
VISUAL
wHash
|
42d99d89031f0fee |
|
VISUAL
colorHash
|
07002008180 |
|
VISUAL
cropResistant
|
96b23b3b8e8e98cc |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.