Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F583CD35923B1826911FB2E4A2A48B192693CB8AC7438BF5627C52F67FCDC753D1318D |
|
CONTENT
ssdeep
|
1536:b7crIniZv9XcZuwZ7eMSqpcbqw+MFpjkex0es9MAVe+3kBkMGbzSATMmYML7MFym:b7crInM9ybglUQZUwo8rUZYDMOLZzmQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36c4c329b8e9b31 |
|
VISUAL
aHash
|
3c20303c442c3c3c |
|
VISUAL
dHash
|
79c64449d9c9c9d9 |
|
VISUAL
wHash
|
3e323c3e262e3c3c |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
79c64449d9c9c9d9,ceed490981917971,d91fe971dccece82,0000686971966100 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.