Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10024B67970A1B533062FA1CAE9D01B6D60F3EA3DCD671844E6FC43BC27D6D99B282449 |
|
CONTENT
ssdeep
|
3072:Sl30K4DW4BEZDxGFm3gMJzjaSiuyU5Wi4Rfl071/WQB8BoxwccgKYONNgeialIAQ:SZ5Jqbw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9ce3398c3696c32 |
|
VISUAL
aHash
|
e3c3c3c3c7cbcfc7 |
|
VISUAL
dHash
|
0606261316161e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07402008040 |
|
VISUAL
cropResistant
|
0606261316161e1e |
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 537 techniques to evade detection by security scanners and make reverse engineering more difficult.