Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7746C66E090583B41F750F0F4E76358F6B232D8D2098E0079F99049BB6FED89B73699 |
|
CONTENT
ssdeep
|
6144:PemlZ342siSDg0VnZUYxB1jC0PkfeKpUOvJM:PeCt42siSDq0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ce673e1e44c8933 |
|
VISUAL
aHash
|
600f1e1b1f1f0f0f |
|
VISUAL
dHash
|
c43a303231b2b234 |
|
VISUAL
wHash
|
001f1e1f1f1f0f0f |
|
VISUAL
colorHash
|
16201000180 |
|
VISUAL
cropResistant
|
f3f2d2dacc9797d8,da58dadadada58da,c43a303231b2b234 |
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 126 techniques to evade detection by security scanners and make reverse engineering more difficult.