Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD4292317098653B0093D2D4A775279FB3E5C204CA630706B6F4C30DAFD7EAACDA69A5 |
|
CONTENT
ssdeep
|
192:aeI4Il3ORDtZouZLT2hqt+jCgwn8npTVfU64dB2C:c4IURDjo4v24t7x8npBfUJ2C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
885d32e74ca957aa |
|
VISUAL
aHash
|
000e1c3838784301 |
|
VISUAL
dHash
|
6eb8f0f0e0cb8b95 |
|
VISUAL
wHash
|
031e3c7c787c6749 |
|
VISUAL
colorHash
|
30000000180 |
|
VISUAL
cropResistant
|
ebf8f0f0e09850f0,8200806d2d800088,6eb8f0f0e0cb8b95 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.