Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161B13373E004D91E5DE6D688FBC0E48C525AC35BF6309997B2D4606F3AC0EF891A636D |
|
CONTENT
ssdeep
|
96:OLYRiCMS4aR1sYYfMmORR1E8VCon4C2uH74uyl:OandYfMmUU8VCo2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
964fed70e052c936 |
|
VISUAL
aHash
|
381c1e66064e06ff |
|
VISUAL
dHash
|
40686c8c8c8c4c6c |
|
VISUAL
wHash
|
3c3c0e66066e06ff |
|
VISUAL
colorHash
|
0e60a000000 |
|
VISUAL
cropResistant
|
12ea2ac8f438dc26,8496928082c0e8ec,606c6c8c8c8c4c4c,2000202244484849,d8d27ddcb434989b,d1cbc5a183860688,898089b8b889a8f3,40606ccc8c8ccc6c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.