Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3B3A4B10088961FEB239785EFA1B7EE22F7912C857221107DB485DBDFF6C8845392E5 |
|
CONTENT
ssdeep
|
768:5im6C2K+44nBX6U4Ne0/MSZ264q149i8m5v:g/44Bhlw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97959d3c78217525 |
|
VISUAL
aHash
|
3ebf7f2000000000 |
|
VISUAL
dHash
|
7c78c64a4678c813 |
|
VISUAL
wHash
|
3fff7fbe00803c00 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
b4b4b0b2b6b6363a,65659be6469be9ed,7c78c64a4678c813 |
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.