Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19893B8B29251243320BBB1D9F1297709A2D3D74EC68287D1F2FC636B1ED6CA1F817856 |
|
CONTENT
ssdeep
|
1536:6uKXWnSraJAuOpcor3BPmzzXXMd6MiucCOK:PKXWdJAuOrpmzzXXMd6M1cCOK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b61363933c9ccc99 |
|
VISUAL
aHash
|
0000d3dbffffffc3 |
|
VISUAL
dHash
|
e8c8263618002606 |
|
VISUAL
wHash
|
000042c3dfffdfc3 |
|
VISUAL
colorHash
|
072000000c0 |
|
VISUAL
cropResistant
|
e8c8263618002606,8e96979991979696 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.