Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4D143E1C408DD37032246D5FBF56B5BB592C359CF06098453F882EB9BDFC60CA16A9A |
|
CONTENT
ssdeep
|
96:TkOFvjHkhOlzH0X0eGBa0LMfh3fHwvFnel3XhdHFsXehXlz/Kit7lFvkqQPJ:QOlHkhOlzH0XsBasih3tpSOfztr+qQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e763b330b030e367 |
|
VISUAL
aHash
|
ff203000000000ff |
|
VISUAL
dHash
|
0dc0c0301632160c |
|
VISUAL
wHash
|
ff707818001800ff |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
0d0d0d4d4d0c080c,8282828282828282,8282828282828282,0000000000000000,d0c8c03016123206 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)