Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB63C511A90CF86E01EB15D4B176472D72BD4301D2538299F8A7E3EC9A9FD2EE237718 |
|
CONTENT
ssdeep
|
1536:fP7CsIxylqdSvZ5ymI5vp6QRFSVtPqTMxsab:fP7CmlHzymIab |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccbab4e49c736330 |
|
VISUAL
aHash
|
ffff000000000000 |
|
VISUAL
dHash
|
223569f0f0c3d0f0 |
|
VISUAL
wHash
|
ffff3c3e18300038 |
|
VISUAL
colorHash
|
120010001c0 |
|
VISUAL
cropResistant
|
0032238820201039,6968f0f0c043b0f0 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.