Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7F2A43C9205A83F0AE772D1AA24B35A63858ECEE843133542BDC71D9FD6D9CED065B4 |
|
CONTENT
ssdeep
|
384:HtstCsIIQty4IIIII90lB+LsLEABu1LMp2NW/e3Y5GujzxtZaRpW:uIIQtPIIIIIMED1LcUW/e3Y5GUt4e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ee3791c9c1963c6 |
|
VISUAL
aHash
|
00c1ffff7f181818 |
|
VISUAL
dHash
|
c38fcbf3e5f3f0f0 |
|
VISUAL
wHash
|
00c1ffff7f181818 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,000030323a100400,c38fcbf3e5f3f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.