Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128335C726731B8A883DF52EEE7382E49B2C6459DE8CB4540F5C9568D23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aL+EsZ/8fMDVRIMjBDRcMjBoDrpRXPZlQaQD9OehM+BrUgq4z:aUrRxRyDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f3818d8d81818181 |
|
VISUAL
dHash
|
035d5d5d49415951 |
|
VISUAL
wHash
|
ff8d8fafa1818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
035d5d5d49415951,fef9f1e1f1e2e4e1,343038383cbc9889,03d8dad8c89098d0 |
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)