Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180139332F0807837451B9EE6B5A1AB1A77E7830DDB130408E2FCC7D56FE6D50CA2656A |
|
CONTENT
ssdeep
|
768:bvIIsz5sloVz5GfB/RIskuXCdcShzLp+z57+ibGAMwYT8z53wXJqd4QkLiev:bvIIyavIskuXC+S7++iiX4Wlv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9163ea9e6511dc6c |
|
VISUAL
aHash
|
000000020fffffff |
|
VISUAL
dHash
|
98c9d8dafef8fce3 |
|
VISUAL
wHash
|
0000000e1fffffff |
|
VISUAL
colorHash
|
182000c0001 |
|
VISUAL
cropResistant
|
14dcf1f8b0f8cbf0,98c9d8dafef8fce3,414d7133714d5541 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)