Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19213653073002EF7A193C2D9BA66BBDA63DAC1DDC71B8154A3E893565BC6C878CA11D4 |
|
CONTENT
ssdeep
|
768:fhIfUpk30FYQeS9kheUxi0aq1GGLwWhm1Sj7g6lBKUnpDuS:Qjely |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad52ad52ad52ad52 |
|
VISUAL
aHash
|
0000001808000003 |
|
VISUAL
dHash
|
00000830100b000b |
|
VISUAL
wHash
|
0c0c0c1c1c0c0f0f |
|
VISUAL
colorHash
|
38000000780 |
|
VISUAL
cropResistant
|
a5013534042d0d01,00000830100b000b |
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 210 techniques to evade detection by security scanners and make reverse engineering more difficult.