Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141D1C670821BCC2B624FC9C9EF329F163591E36CD61B165C66F5479C60C8CC5EC2A6A4 |
|
CONTENT
ssdeep
|
48:YQwQSbOShX474kEzsci0Hr3UvbvGGGmRnwN2PUu8R/1u8k/Qip+UPOcMlIXVMDA8:YLbzGlkITvI+rNAMMESj3LkFGVPMkkiD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
803c7efed0c38363 |
|
VISUAL
aHash
|
0000637f7f7fffff |
|
VISUAL
dHash
|
2434c280c0c00000 |
|
VISUAL
wHash
|
0000003f0f4f4f4f |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2434c280c0c00000 |
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 184 techniques to evade detection by security scanners and make reverse engineering more difficult.