Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED2947171006A3B01D7C3C9B362F73EA2D3D249DA4A192282F9475E4FE7E90DD2346A |
|
CONTENT
ssdeep
|
768:5cxPy5NgscGcsBsH0qGj/Q9Hq9Rc7sOy2+y9BH4crIe:593ZB+Gw7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876fbd32f900c0cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1f4fc7c8c0cccc00 |
|
VISUAL
wHash
|
83e77100000effff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
5480800458988000,170fc7c3c8c0cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.