Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11902DDE0D415FE3B475281D5EB766B0B76D1C35ADF020944A3F883ABABCAC50CA2259D |
|
CONTENT
ssdeep
|
192:QIzmOYx98i6KHkgHwyGEGeDazGKGG0BByb:QCO91THkUwyG6D7KGG0Tyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86a6e674b9991999 |
|
VISUAL
aHash
|
f7777fffff0000ff |
|
VISUAL
dHash
|
ecedf3ebcec40802 |
|
VISUAL
wHash
|
16273f3f7f0000fc |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
ecedf3ebcec40802 |
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.