Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B6352309011E83B45CB65C4A233A75A62E6934ACA6307D9FBF4C3A95BDEC78DD73214 |
|
CONTENT
ssdeep
|
768:kSsIx/jPjIB/v6kSCLRXvr6zBgpmDfBuGcH+K0P/Uf79F:lsIxTjINBSeRXvr6zWUfBuOw79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a15d36285be9d2b4 |
|
VISUAL
aHash
|
003cfff90001c3ef |
|
VISUAL
dHash
|
76e0ca73d38b870c |
|
VISUAL
wHash
|
003cfff90101c3ff |
|
VISUAL
colorHash
|
16601008000 |
|
VISUAL
cropResistant
|
e1f8cec9c2cb6173,a589cb96068d48f8,746bf69c6661d8be,cb7393d389830ecc,0980c0e058746e7f |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.