Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1116352325485DCBB00D7A6C45272072662F5A380EA530286FBF4C79E5F9FE69CE33925 |
|
CONTENT
ssdeep
|
1536:BYO4444g44449444494444E4444g4444h+C1iAJqVQvnnxVsIx779F:anxVv7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b54fc7ad429d528 |
|
VISUAL
aHash
|
ff010020000001ff |
|
VISUAL
dHash
|
25fdeecb69dbfb02 |
|
VISUAL
wHash
|
ff073635050803ff |
|
VISUAL
colorHash
|
16c01008000 |
|
VISUAL
cropResistant
|
21218035f57d7fee,3f7efef4397172e0,6beb5b4b00020026,80a0814b49200140,7deececb69dbdb6b |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.