Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBC1A512D6A819310F3681C1BEA67B7AF6728359C7020F6016FC236D2AC7E65D9361BD |
|
CONTENT
ssdeep
|
96:SnAWQDjzsxO6Z902kJG+mJ+kbE0JmRDEzcAT431:SnzejzqO6L0PJGvJr3JGYH8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80c07a3b3f3ff109 |
|
VISUAL
aHash
|
077f7b330f070107 |
|
VISUAL
dHash
|
b7e7c6e6f6ffff3e |
|
VISUAL
wHash
|
077f7f1b0f070107 |
|
VISUAL
colorHash
|
03007000080 |
|
VISUAL
cropResistant
|
fc684ce1b0e0b9bf,94a1719458c4de59,b2da6f2166298cf6,e5f138f1d4e771ac,b7e7c6e6f6ffff3e,63380b02804013f0 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.