Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF141F2D400DD7B035285C8EBBA6B4BB791C74ACB07094157F883ABABDAC60CF15599 |
|
CONTENT
ssdeep
|
96:TkobzD71tDlt8v67M0ddtQlilHKXiHFiXeWXQE/dQt27ytr6btBECc2J:QobzD715lt8iIOdClQNEOM7yhkDE/w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9b93cc99c664 |
|
VISUAL
aHash
|
fff3f3f3f3f3c7ff |
|
VISUAL
dHash
|
1026262626269e06 |
|
VISUAL
wHash
|
18000000c3f3c3ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1026262626269e06,787378797d7f7f7f |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)