Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9D28371A1543A3F02A7C3C9B721F75AA3E35249E746090663FC836D4BD7E64EE2311A |
|
CONTENT
ssdeep
|
768:wSzy5Nu0zSjn4We9gTfikn5seQk7sOy2+y9BH4crIe:y+jwYakn5Lb7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f13a963ca9e8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
ccc7c3e8cdc99b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,ccccc3e2cccde90b |
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.