Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152838B23421979274437C6D130BA5B3BE1E6999FFAE70A410EECC7F62BF9C90741A119 |
|
CONTENT
ssdeep
|
768:jsJjiWSEEiynpR4nXf6YjOpSpFlTCtrr4bVV8d1pHo:OjrSEEhnpR4nX/KpSpFl2tv441pHo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4b33b46acd8ab4 |
|
VISUAL
aHash
|
00007c385a5a1200 |
|
VISUAL
dHash
|
21c8f0f3b6b6b6f4 |
|
VISUAL
wHash
|
b8fc7e785a5a5a00 |
|
VISUAL
colorHash
|
39200010000 |
|
VISUAL
cropResistant
|
d0d6e07434b8d8d0,f03232f072b3b2f0,21c8f0f3b6b6b6f4 |
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 253 techniques to evade detection by security scanners and make reverse engineering more difficult.