Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1392272AB62006BB73D034745BF0577FEF353019DEAA058F7B0CC84E856A5EB251B1A42 |
|
CONTENT
ssdeep
|
96:ljIVsSdn2CEqy3ALflG6eQFPirNDEVYLvzsiHzE1q8bAGPeD5Bk+GqtsvYNCL4Jm:Wdc3OfgQF6raVYLRT0ZMM+GS0vv4Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bee4e0c2872e3c3c |
|
VISUAL
aHash
|
f7cf8787bf81830f |
|
VISUAL
dHash
|
6498356d68195f1a |
|
VISUAL
wHash
|
b7cf8787bf00010f |
|
VISUAL
colorHash
|
07c00000080 |
|
VISUAL
cropResistant
|
6498356d68195f1a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)