Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB93943B00086A3A0E9772D9DB1DD70D625D64C4CD118FA469DBC2889ECAFA2DB35D4F |
|
CONTENT
ssdeep
|
768:qojgLFp52VUk/Td50S2KrMYWtZvJKJj+usm2/2dZ6HahBD2nHzQS:DxfynRKJjweHDhBgHzQS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
875a25569abd52a5 |
|
VISUAL
aHash
|
0020003c3c3c0703 |
|
VISUAL
dHash
|
dcc9c1e9e8e8d6d7 |
|
VISUAL
wHash
|
0070787d7e3c3f07 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
a080614d556180b0,8080414d4d618088,808000c2c2008080,8c8cb18fac5a5ada,dcc9c1e9e8e8d6d7 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.