Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D2513051006E7B11E7C2D5ABB287AEB3D59294CE271B5A62F4C3DA4FC6D9CCC3215A |
|
CONTENT
ssdeep
|
768:kqdaZUveQwYjng7R1joIzmb2PYczxAIKV7F9z3s4Ns:kqdjeQRE7NuBIQfz84Ns |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92324d6d6c929a6f |
|
VISUAL
aHash
|
00006e2e007e7e18 |
|
VISUAL
dHash
|
34dccccc33ccdc33 |
|
VISUAL
wHash
|
06606e7e707e7e18 |
|
VISUAL
colorHash
|
31e00000000 |
|
VISUAL
cropResistant
|
8200dada82820082,a28082f8f8828082,8485a467e5a485a4,4c551335ab31154d,84802555c1c58080,34dccccc33ccdc33 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.