Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9335B726331B8AD82DF51EEFB382E46B2C69499F8C74450F5C9968D13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aH+EsZ/83ATDVRZMQBmRQMQBfDrpRXPZlQaQD9OehM+BrUgq4z:a49RYRuDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea7a92ca6c389ac3 |
|
VISUAL
aHash
|
bde7c781c3e7e7e7 |
|
VISUAL
dHash
|
55490b17174d0d0d |
|
VISUAL
wHash
|
8de7818183c3e3e3 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
55490b17174d0d0d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.