Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13733723650006EBF218386CA77B47BAEE7D6D285C7434A6673E8831D07D7E80CD36966 |
|
CONTENT
ssdeep
|
768:uLqNmKL+Iz9o0wyYBDnD/GpqG49RuAZ2GdZq:hcKL+ImpQqG49R/Ddg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f66cc93f91349249 |
|
VISUAL
aHash
|
f0f0f086868686f8 |
|
VISUAL
dHash
|
e427242c2c2c2c80 |
|
VISUAL
wHash
|
f0f0f4868686c6fc |
|
VISUAL
colorHash
|
03000008030 |
|
VISUAL
cropResistant
|
5332262626263780,54d0c6c47464f018,e427242c2c2c2c80 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.