Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13291EDB3D2DDD0222721C5C4FA32AB2AC68700CEDE952947DAB1059F24DCEB5C803F4A |
|
CONTENT
ssdeep
|
48:epDsFnkPnlCclWYdmEeiqG3+Vjhormd2YOq9ADtVQ281w8IZB5DQC1QDkKsQ/6hm:sllWmOuxwk3DQC5jm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b2b8e1673829c7 |
|
VISUAL
aHash
|
ff3c3c203c3c1c3c |
|
VISUAL
dHash
|
4979f8c8c8d8f078 |
|
VISUAL
wHash
|
7c3c3c3c3c3c1c3c |
|
VISUAL
colorHash
|
38e00008000 |
|
VISUAL
cropResistant
|
93290b5b0f2337a5,4979f8c8c8d8f078 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.