Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C24454E4D2906D07B8130157F0AEF6D691061E0DFB5C9F2A638B8E002DEB87B45676B7 |
|
CONTENT
ssdeep
|
1536:ltrHH1ZxpQDvT71x5JU5x19D/vHeCx19D/vHeRoEkeCay3F+lvaQpQ4:8i4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4869c3313cd0df3 |
|
VISUAL
aHash
|
fff7f7f3c3008000 |
|
VISUAL
dHash
|
e6e6e6c60e4f1206 |
|
VISUAL
wHash
|
fff7f7e3c3008000 |
|
VISUAL
colorHash
|
17600018000 |
|
VISUAL
cropResistant
|
e4e6e6e6e6e6c6ce,fe7cfcb8b2f3f3f2,e6e6e6c60e4f1206 |
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.