Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10253199D6851601A873740F384BB1EC9B7391C2FE80D46E195B4CBA5F2AC4F5316BB8B |
|
CONTENT
ssdeep
|
768:syWuPuy/SvWs/9MX8UzLdx4HSQlT99mluK+i4zSbg5uTUxSNsY4UsckMXTNdm/Ff:rbKkQ+qmVyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0306dcd6731399e |
|
VISUAL
aHash
|
c3c3c7c7efffffef |
|
VISUAL
dHash
|
969e9e9e0c1e1e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c7c3c2 |
|
VISUAL
colorHash
|
07c00000400 |
|
VISUAL
cropResistant
|
969e9e9e0c1e1e1e,f0daf6caffffdff6 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.