Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E648536F3706D26428E33A0892DD78676A71F573098FBE8639C94981F10A54437FEAD |
|
CONTENT
ssdeep
|
3072:XA7vr2qL8IY77hmfTuDh1WEyyWb4sg4opsFUw/tNA5upgWxN:XA7vrVb+h1Vy5g4opsFUCtNMuDxN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eab5c03fca94c236 |
|
VISUAL
aHash
|
ffc3e7ff8181bdfd |
|
VISUAL
dHash
|
160e4c332b337171 |
|
VISUAL
wHash
|
ffc3e7ff0000107c |
|
VISUAL
colorHash
|
060030000c0 |
|
VISUAL
cropResistant
|
160e4c332b337171,454545d8d8454505,206040a0f0c0f0e0 |
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 288 techniques to evade detection by security scanners and make reverse engineering more difficult.