Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12912EBB1B150A9334197C6E9ABB1AF6F73D18385CA934242A3FDD3980FDBC99DC01A51 |
|
CONTENT
ssdeep
|
96:PgHHgCbxw5RVBVbXSMPdKnwLRfeo9OXx66CNZwgO8LOl5L4Z5:PuHdbS5zjbSMnJQBIhvLmBq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c078f278347a9adc |
|
VISUAL
aHash
|
00183c1818383c7e |
|
VISUAL
dHash
|
8ee0f0f0b0f0f0d4 |
|
VISUAL
wHash
|
40407c78787c7e7e |
|
VISUAL
colorHash
|
380092000c0 |
|
VISUAL
cropResistant
|
8ee0f0f0b0f0f0d4 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.