Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160E130E1D414ED37435386D9A7F66B0BB6D2C345CF03094493F893AB5BDECA0CA22999 |
|
CONTENT
ssdeep
|
96:TkfKpzDxLSTBJ8v675vmSFtGICFPSX3HFRUfqXAHF8uXmz/2LY3zEmSTyR:QfKpzDx2D8ih/tGIJyKzcgzEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cf6766ccc4ca2 |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
64b032b214080000 |
|
VISUAL
wHash
|
9100181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0182a2a2a2a2a280,80a2a2a2a2a2a241,41a2a2a2a2a2a241,0000000000000000,74a432b2b2300810 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)