Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCD183793440218A13F3E7D7FB246B4AA9C7F34DCB52896469E792480FF6DB1C953828 |
|
CONTENT
ssdeep
|
96:fczZYISiAoDyI0toJpUtcOPd6S2qv0m2PMHgTGj2roJi:fczZYP8yI0+Jetrr2qvR6MHQG6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e1c1e1c3e3c3e3 |
|
VISUAL
aHash
|
ff4000000000003c |
|
VISUAL
dHash
|
c890800000000260 |
|
VISUAL
wHash
|
ffe34000000000ff |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
584922a6d7367692,c890800000000260 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.