Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AF34678C0007D77922F69D6B8AD578EA4B257C4CA6F1B56737D039A37D9C328A1B0B0 |
|
CONTENT
ssdeep
|
1536:0ux9NmktZ4zN1S6mV7zeCAVchb5Wy39KlkY57ecY+JU/VbLNhuBTS24ym/QsYm9P:0OtEGBg+GmyFcEid |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f33ace4b4a4c332c |
|
VISUAL
aHash
|
00c7c3c3e3e3f7ff |
|
VISUAL
dHash
|
491f8e8e0e4a2604 |
|
VISUAL
wHash
|
00c3c3c3c3e3e2fe |
|
VISUAL
colorHash
|
06038000400 |
|
VISUAL
cropResistant
|
491f8e8e0e4a2604 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.