Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D143231360D11637012FC7CFE5A0F75963C3422EEA0305126AF9975E5AEBD27BD0E62A |
|
CONTENT
ssdeep
|
1536:lCCWcHaa2jEQG24/9ubaCf5mgRZlSNP2W3d4eIgdCymyOK35MiadIGXlCilweceR:wCWcHaa2jEQG24/9ubaCfIgRZlSNP2Wo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea1ba4c9a6b5683a |
|
VISUAL
aHash
|
ffbd000080f8fff7 |
|
VISUAL
dHash
|
c079794151116525 |
|
VISUAL
wHash
|
ff89000080f8fff7 |
|
VISUAL
colorHash
|
07202030000 |
|
VISUAL
cropResistant
|
c079794151116525,82004060c0c00080,8200806060200080,63f3ebcbc647c9c9,43121012c24c888e,6866703038310125 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.