Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F043833421935260537C6D430AA5B37D2A6DE5FFAE70B010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:N44ltsU8PjpMq1Wiz32TEtPE7vt8sPB3IxknNkCRgv:VQGLKEbFi5v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b2edcd90b6899a |
|
VISUAL
aHash
|
ff002f0e1c18000c |
|
VISUAL
dHash
|
a2c9ccfcf8f260d8 |
|
VISUAL
wHash
|
ff243f3f3e38000c |
|
VISUAL
colorHash
|
320030000c0 |
|
VISUAL
cropResistant
|
000000c4c0100049,c2a6aeb2acce86c2,c8cdecfcf0f268d8 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.