Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AB294316060263F069BC3D4B761BB2DA1E3928DDB45191693FD835DCBDAF50E83346A |
|
CONTENT
ssdeep
|
768:Cgy5NqwxCyIIIIIIlgXSKBkCmNrs7sOy2+y9BH4cLIe:exCyIIIIIIkSKBkRK7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f66fa910d049c3d6 |
|
VISUAL
aHash
|
000120000400ffff |
|
VISUAL
dHash
|
9f2f4d596cccb100 |
|
VISUAL
wHash
|
0087f5a00e04ffff |
|
VISUAL
colorHash
|
32001400200 |
|
VISUAL
cropResistant
|
a2c439334f880182,1080800030908000,d71f6d4930ec8cb1 |
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.