Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA3EE234159752B4437C3D1306A6B3BD1A6999FFAE70A004EECCBF72BFAC90745A119 |
|
CONTENT
ssdeep
|
1536:6tpR4nXBKpSpFl26vH0ZbZSnGW+xyHIr/9:uUMJSGW+xyA/9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a3c65d897422ce7 |
|
VISUAL
aHash
|
0101011f1f1c6c27 |
|
VISUAL
dHash
|
8b2b3bfdfcb1c9ce |
|
VISUAL
wHash
|
0101013f3f1f7d6f |
|
VISUAL
colorHash
|
31007000080 |
|
VISUAL
cropResistant
|
800080c04080004d,b64fb69e7c7e2fb7,a080a0e0e08080a8,a980a0e0e0e080a0,86008080a0a00082,11a1d0d9ccccde67,8b2b3bfdfcb1c9ce |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.