Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19542A4B9334627B607C306F3F61A1BF6E3328499D2335549B5EC412C6BA0E458762FD5 |
|
CONTENT
ssdeep
|
192:yc32/TNffV+yEMsPHU0tsA/ckiDNUQBNvl0IjwaGM1O7F7gP+iLWQ:yH7C77XMit6+k9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9636369c9c3636 |
|
VISUAL
aHash
|
063c3c1818003c7c |
|
VISUAL
dHash
|
c471703232cc70d0 |
|
VISUAL
wHash
|
7e3c3c3c18007e7e |
|
VISUAL
colorHash
|
38000000e40 |
|
VISUAL
cropResistant
|
448877455557a080,c471703232cc70d0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.