Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15473447622466E3F108381E1932CD35AE782D60AC7A78A86D7FC431B27C7DA4ED36175 |
|
CONTENT
ssdeep
|
1536:0FS6ifSDcQ70C4w3uFJy+0xpGS5nSF0dxVuz8LK:dm1CSnVHK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852a4be346eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d38b131833271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,25654445762b496a,38789d9c8c8c8d8f,b166739db1594b4f,19535bad6dd3d350,82a28ecccc8ca282,8512382727009606,8c83b3c98b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)