Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAF178924444641B121645CE36A3FB4A35C7E381DB66184026DD83BB6BEF6F0ECAF397 |
|
CONTENT
ssdeep
|
96:T84T4Xs0gnfsJsZdSda0YiIFj3PXn4pMuIFduzGV/8yA37IF2z3NgGuouYmoLQU:A2oiwQ0YDNfoqXT1SP30Qz3N9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303447cfcb7359 |
|
VISUAL
aHash
|
00c3c3ffffe7ffff |
|
VISUAL
dHash
|
1e1e9e1e0c4d0800 |
|
VISUAL
wHash
|
00c3c3c30327070f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e1e9e1e0c4d0800,0000804040404040,2fd7e6f6d4f7f686 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)