Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9A35833411835274437C6D530B55B3BD2A69A5FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:wmeebdXLz4NP3+mZY9svblTOCVrhX1HWt0XuBkL:bLz4NP/y9svbliCduKXui |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2d738382d69d1e1 |
|
VISUAL
aHash
|
00ee7e7064fe6101 |
|
VISUAL
dHash
|
124cccc0c8cc8d83 |
|
VISUAL
wHash
|
48ee7e706cfe6101 |
|
VISUAL
colorHash
|
30038000400 |
|
VISUAL
cropResistant
|
124cccc0c8cc8d83 |
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.