Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CB196A20518415B42635EC6BF73B70D33A7B12DDDA21D44D1FEC3A84AD7EC5C829401 |
|
CONTENT
ssdeep
|
96:TWAn9Z9MRKs9WBWlwZ/QXifzzaTDUTrT+22T6hKsClRlKhzLok4T:zf97/QX0YuHKOUsYoBEz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2333e7735c823c4 |
|
VISUAL
aHash
|
0707070707070f0f |
|
VISUAL
dHash
|
2dadbdbdbdfdbd3c |
|
VISUAL
wHash
|
07070f0f0f0f1f1f |
|
VISUAL
colorHash
|
0b0002000c0 |
|
VISUAL
cropResistant
|
968c8e8e889696c0,9e9e9e96de9e9efe,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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)