Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A73847641426A3F149346E1832CE36AE3C2D649C7A3DB4ADBEC835B67C6DE0ED35064 |
|
CONTENT
ssdeep
|
1536:LCe2r0RZYg5QDcT820sdh9b4SWeO4qn5yOqT0a+rzGl2j8Otjsd111trGaqDT0PM:LCeZRJmsdh9ke5KnqQa+Gl2oyjsd111y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84086be166eb6b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2b09dd37a71e9616,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000f0e,848bf3d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)