Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FC152D1C408CE36071245D9FBF96B1BE592C319DA02198453FC83BBA7DFC60CA16B99 |
|
CONTENT
ssdeep
|
96:TkRS4zdaPfSThcwvF62epXNHFceEwX0X/q77CrJ:QRS4zdaidw/ZE5XS3C1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7668e9899992167 |
|
VISUAL
aHash
|
ffe7c3cbc7e7ffff |
|
VISUAL
dHash
|
a20d46561c0c2000 |
|
VISUAL
wHash
|
ffe0c3c3c0c4f0f0 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
a20d46561c0c2000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.