Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DE2C6319119A93F07E762E1EB74B35AA2D18389D843072682FD8B4C5FEFD84ED13594 |
|
CONTENT
ssdeep
|
384:/sII3DRIIIII9HlBlrxMlTh7xR2ITnqRGI5pW:kIIlIIIII3OlTlTlc0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3731e1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f181818 |
|
VISUAL
dHash
|
97cdcb93e5f1f0f0 |
|
VISUAL
wHash
|
00e5fbdf7f181818 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c0c,0002e4d4d4500000,97cdcb93e5f1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.