Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0314923B0045C391537C294F796B7371261D358C70E1A00E19D837997C6E54FC67289 |
|
CONTENT
ssdeep
|
24:hR/Y9ZBuRhMZHDudjojhllRTlnaqQ+vGvPR5OPPX:TwZkgye5TGvWXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f07071f0f |
|
VISUAL
aHash
|
3f1f1f8f1e9fbf1f |
|
VISUAL
dHash
|
607a2c0a383a633b |
|
VISUAL
wHash
|
000f77861e9e9f0f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
607a2c0a383a633b |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.