Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED2E831B0003B3F139793CABB51F76EA2D3824AD747050652F9975D4BE7E90EA2352A |
|
CONTENT
ssdeep
|
768:ISky5N8AwU8dQUrNgESZZFtKwV7sOy2+y9BH4cLIe:5whKUZVwEwV7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362fc3e8d6d9480 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
888cc8cacc0c8300 |
|
VISUAL
wHash
|
00ecfc600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,988cccc8cacc0c80 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.