Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BA2F93BE1C4765E028315D2BF71BC97AA3D489C9221F670DBFD469562C08A4C2B63F9 |
|
CONTENT
ssdeep
|
384:dtuzZQb74uqVtAFh++sMX4hRRvMWMyyfrtHUvKdtFc7Dqdv:dtuzZQbm0h++D4h4frtHhtq7Du |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
812b78d4f4a7a336 |
|
VISUAL
aHash
|
0008207e7e7e7e7e |
|
VISUAL
dHash
|
dbf8cbccc4c4d4c4 |
|
VISUAL
wHash
|
0008207e7e7e7e7e |
|
VISUAL
colorHash
|
18000e00000 |
|
VISUAL
cropResistant
|
00a24d9c96962900,dbf8cbccc4c4d4c4 |
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.