Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164733130A151AE3B41EB4DC9A6B25F1D21F88345D5020A89F7B983F95FFEC69EE23144 |
|
CONTENT
ssdeep
|
1536:H44T5OOfeBHnQOqOOfeBHnQO6T6pKw7ryhW8+s9IP4yNKufpsIxT79s2L5:76pKw7ryhW8+s9IPPhf7xL5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82e58e1cbe15b335 |
|
VISUAL
aHash
|
7e7066e4801818bd |
|
VISUAL
dHash
|
d4c5cccc3760f055 |
|
VISUAL
wHash
|
ff7466e6811800fd |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
d4c5cccc3760f055 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.