Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3716477D1484E3353935295AFA1A71A734047869B436B010EDCC2EE7EC7E75DA231C8 |
|
CONTENT
ssdeep
|
96:pX8eHNLHq8eW7cjDeMoHZFr5Wxqb0JOKPM3z+6weaxHOe:BbxK4c+rboJ43CXeaAe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a363cc8c398cce73 |
|
VISUAL
aHash
|
f7e7e7e7673f0707 |
|
VISUAL
dHash
|
978bab8b8bab2f1f |
|
VISUAL
wHash
|
e3e3e363071f0307 |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
978bab8b8bab2f1f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.