Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182430330A400ED3741D799D952364B2AA2F58385CA231648FAF5C3AD1BEFD78CB77225 |
|
CONTENT
ssdeep
|
1536:eksIxa9onDVwPcrPZAxeOepLxKTRJts8Gyk9Me4ToexYdYEo79o:ek5vYEo7G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a15f5aa33f54a32 |
|
VISUAL
aHash
|
000000000079ffff |
|
VISUAL
dHash
|
aef4b058f1e30296 |
|
VISUAL
wHash
|
0216100805ffffff |
|
VISUAL
colorHash
|
0b006000040 |
|
VISUAL
cropResistant
|
d9b1e1c328451692,a6f4f4b15159f1e3 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.