Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B255E951F1A22833202F52D9E07D6B0961D3E75AD7420BC1E6F543B81BFBC69B81B99C |
|
CONTENT
ssdeep
|
12288:YOkxws7SOXVGhX8uWNfFf6Y3ZZj/hIA3DJE1A3SH:eX4uSH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb15431f1e53431e |
|
VISUAL
aHash
|
00e7ef9f9ffffde7 |
|
VISUAL
dHash
|
d00e1d392959194f |
|
VISUAL
wHash
|
00c3c18d8dedede3 |
|
VISUAL
colorHash
|
07007008000 |
|
VISUAL
cropResistant
|
8282c2d2d2828282,960e99392999194f,c0c9e8c8c00aa20a |
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 2774 techniques to evade detection by security scanners and make reverse engineering more difficult.