Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D2A532B010663F42D7D2D9B262A71EE2D35349DA56081AD1FCC3AE5BA3D50DE33626 |
|
CONTENT
ssdeep
|
768:qScy5NIsEu9GFHaSuClBpI7sOy2+y9BH4crIe:TEuAu8I7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1adc08d3e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c8ecac2c8c9f100 |
|
VISUAL
wHash
|
00e7f030300cffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940ccac2e2ccc9e1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.