Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D2C571E054273F0287C3CDB790F32EA2D78249E74A050652F8835D9BDBE94EE2356A |
|
CONTENT
ssdeep
|
768:LjSky5N/S2wGDG6srEXMfy4Omi7sOy2+y9BH4crIe:LX2wAkwatTi7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342fc3abd289583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc4cacc1c4300 |
|
VISUAL
wHash
|
00fc74602e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc0cacc1c04 |
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.