Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F633EDB0424010AF0BD3B9D0B4A27F57A5B2C9EAE15F598CA2BC99881FC1FE1C4D56B5 |
|
CONTENT
ssdeep
|
1536:E9ey3iPiM7nUviK+dfnIs1Ltsgx7FY7mY7gE7tK7LQ7wOn73f:Eb3iPiM7nIZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c608711e3e9eb6 |
|
VISUAL
aHash
|
0470fcffa470001c |
|
VISUAL
dHash
|
4cc26d6d6cc5c7f0 |
|
VISUAL
wHash
|
0470fff7aef0003c |
|
VISUAL
colorHash
|
39001030000 |
|
VISUAL
cropResistant
|
cececce6e2939726,c585cd91b9759599,54d4d45454d55454,a4a4a4343464a4a4,4cc26d6d6cc5c7f0 |
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 637 techniques to evade detection by security scanners and make reverse engineering more difficult.