Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3A35833411835274437C6D530A55B3BD2A69A5FFEE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:xmepbngXLz4NP3+mZY9svblTOCVr2PAHAaFFtiuCa28y2OZL:t+Lz4NP/y9svbliCd3DFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d216dd329129bd4b |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
18c4c0c8cd8dc1f0 |
|
VISUAL
wHash
|
0cfc30007c657cff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,18ccc4c8cccd8dc0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.