Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD6255B25544A53B236393C9A7B1B74BE7828686CCC2048BC1E6D35D2FE7DB2EC16705 |
|
CONTENT
ssdeep
|
192:5CMVwFXOluJ7wtZh10SHQJTIGp2Zd38PrZgE5:E02+lTbPHc1pWGVg6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e61e1809e9690 |
|
VISUAL
aHash
|
80809c9effffffff |
|
VISUAL
dHash
|
380b3c3430202024 |
|
VISUAL
wHash
|
80808c9cffcfc7c3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
380b3c3430202024,4141338bcb614101 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)