Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CE11DE1C454EE3B435385C9A7B56B0B77D1C359CF02098493F883AF9BDAC60CA265AD |
|
CONTENT
ssdeep
|
96:TkcfzHiy7UjMEZSS8NMgXwvYselXxHlWeZXsE/oDaYoJ:QcfzHiy7UjMEcNf/nSEDf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc9c339c4c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
280c0c4a00000000 |
|
VISUAL
wHash
|
9fe7e7e7ff000000 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
200c0c0c4c000000,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.