Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FD2D731E0542B3F0283C3C9B753F76EA2E7824AEA46090592F9879D47D7ED0EE5351A |
|
CONTENT
ssdeep
|
768:tSky5NK9nTSWzfEvei7sOy2+y9BH4cLIe:FnDcvF7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362f03a9d6dcc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98cccccacc0c9100 |
|
VISUAL
wHash
|
00ecfc600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0c8cc0c02 |
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.