Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F51017088448D3B82139DCCB1B16F1F92C2D31DDB23195567E8CBA94FE7C59C96DA09 |
|
CONTENT
ssdeep
|
48:S/KWpIwsEG8LAsGifsn3Dyo6wPFM5cx94yPt9:S/KWIVi03DyoTMYPt9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
903838c6c7c7c7e3 |
|
VISUAL
aHash
|
7e5e7e7e7e7e7e7e |
|
VISUAL
dHash
|
82ba9aa2a2a2a2a2 |
|
VISUAL
wHash
|
1e0e063e4e4e4e4e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
80b8988080808080,0000000000000000,ffffffffffffffff |
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 767 techniques to evade detection by security scanners and make reverse engineering more difficult.