Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B185A21618415B02635EC6BFB37B4933ABF22DDDB21D54D2BEC3E88AD7DC5C829411 |
|
CONTENT
ssdeep
|
96:Ton9P9MRKs16WwZUQXifzzaTDUTrT+2N86hKsClRlKhzLok4T:+F97EQX0YuHhTUsYoBEz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2333e7b35c82394 |
|
VISUAL
aHash
|
0707070707070f0f |
|
VISUAL
dHash
|
2dadbdbdbcfdbd3c |
|
VISUAL
wHash
|
07070f0f0f0f1f1f |
|
VISUAL
colorHash
|
0b0002000c0 |
|
VISUAL
cropResistant
|
8e96968eb89696c0,9e9e9e96de9e9efe,acdecace6e6e4e2e |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)