Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182433278128127FB51C39BB0F761A72EE299D76DCB2BC949B3E8821B5BC7C50CD11294 |
|
CONTENT
ssdeep
|
768:83Vo55jW32XiM0JYCWY7c6vI2s4gz1liyY3M01TFW/cIIzyG88Pe1SnRdbMcCxSA:5KzTOsRm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3ac3cc1c7c13c99 |
|
VISUAL
aHash
|
db03017076606080 |
|
VISUAL
dHash
|
b207a3cccccac160 |
|
VISUAL
wHash
|
ff0323777e726080 |
|
VISUAL
colorHash
|
38001058000 |
|
VISUAL
cropResistant
|
b207a3cccccac160 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.