Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10742423030189D3701D79AE4B2BA9E1A60D6C352C947054AD6F497ED8BF3CA9CB267A0 |
|
CONTENT
ssdeep
|
384:TiDl/LTwy6Y+2UVSC9R9B9S1P2UXawZ0Ha92M:Ti5/LTw170PRqwZ0u2M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4d36b606e1f9560 |
|
VISUAL
aHash
|
00007e7e7e7e0000 |
|
VISUAL
dHash
|
03ccecece4e4c413 |
|
VISUAL
wHash
|
007c7e7e7e7e3400 |
|
VISUAL
colorHash
|
1a2000001c0 |
|
VISUAL
cropResistant
|
8dd5c9c5a6f57566,03ccecece4e4c413 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.