Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186B33C74364D792F596383A7A09E72137279131BD40F8C60B164D9F9A3A9C4EE037BD8 |
|
CONTENT
ssdeep
|
1536:0bHzd4lUuRNka2wblHbJLwLIz9GguGOjjRnY:eTarX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3671cbc15b59c07 |
|
VISUAL
aHash
|
0000200000ffff00 |
|
VISUAL
dHash
|
9ec3c7cfcf322250 |
|
VISUAL
wHash
|
0271706007ffff38 |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
02002323231b0010,de03c3c7c7cfcf3f,00008080d0d2c0c0 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.