Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17535C023E3220505B379D9C4F0AB9BA53284474AE5450AF4BA9CC73AF8CE17375B47DA |
|
CONTENT
ssdeep
|
3072:FjbTi60gRU0LmhK9BVDYTrSGyQg1KaedCwNtquSVt+dI63nPRvwkYw/51ZmVEiM0:xTi60gRU0LmhK9erSbhehwkYwQ+i2rMX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a64db20772275 |
|
VISUAL
aHash
|
c3e7c3c3c3ffe7c3 |
|
VISUAL
dHash
|
86968e8e968e8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e3c2c3 |
|
VISUAL
colorHash
|
06000030200 |
|
VISUAL
cropResistant
|
86968e8e968e8e96,f1212131310189c9,5256562b0b565657,93c9ad52d243abab |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.