Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFF195A1E454DD3A071241C2FBB27B6FBAA2C305CB410D9053F843BA9BCFDA1C61259D |
|
CONTENT
ssdeep
|
96:Tk8pzHuhSTP4B16Ldtmzpa23x9mFuuXuHFkGXTX/RzE+AT431:Q8pzHuw8B1adIVa23vPXI8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
817a81fe01fc81fe |
|
VISUAL
aHash
|
7f00000000ffff7f |
|
VISUAL
dHash
|
d048183200c000d0 |
|
VISUAL
wHash
|
7f00080800ffff7f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
d048183200c000d0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.