Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D73B7F382287872115A82D2D2746EDEB2D28689DB1B0450B3F9C36DDBD6C61AF11D7C |
|
CONTENT
ssdeep
|
1536:p4R3xJs+w0eHNOkEcbPg8otvnl49gc0ilCH:p4R3xKFCH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee181367493d1c6b |
|
VISUAL
aHash
|
00fff9d1f1b1e1fb |
|
VISUAL
dHash
|
924533334727434b |
|
VISUAL
wHash
|
00fdd1d1f1a1e1f1 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
c13333236727434b,3032083082ca2300,060e129b36d6d791,454913daca537145 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)