Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EF285B19214A63B2662DBD4B376EA57EB418146C8D7428FD0E5D38C2FEBDB1FC09214 |
|
CONTENT
ssdeep
|
384:BFCdaBZH72pBQI42VZpkUSaeiPpO/FlXkp0IBhW6:zH7UV42V3fSaew2FlXmrV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6961615c5c86 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
333c343404243414 |
|
VISUAL
wHash
|
80009c9ce6e2feee |
|
VISUAL
colorHash
|
070010100c0 |
|
VISUAL
cropResistant
|
333c343404243414 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)