Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BF28270E890CD6A069341D0F7F7E75A026DE282DE1008F5A3DD079B97DAE4CA79F609 |
|
CONTENT
ssdeep
|
384:dkhauxpiZqj6UJIMtHnEolXjy8qcQEa7torMP3ycX/lYmhF8gjX:OhauxpiZWDJIMtHDqnEqxPvlYmhCSX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7c73891c674c6 |
|
VISUAL
aHash
|
ffdfdfcfcfc3cfff |
|
VISUAL
dHash
|
9abbb899999e9f3a |
|
VISUAL
wHash
|
4e0f0f8f8f83838e |
|
VISUAL
colorHash
|
07402000002 |
|
VISUAL
cropResistant
|
9abbb899999e9f3a,47b48cceb0b0a442,0121056979190111 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)