Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB234A726772B8B843DB91EEF7382E42B2D29489F8C74554B5C956CD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8+YRF42DawhMIBHwCMIBhwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aZ+EsZ/8+yO2DawhMIBHwCMIBhwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab6bd4952bc094ad |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
2b4d4b1b1b2f0015 |
|
VISUAL
wHash
|
8180818101ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b4d4b1b1b2f0015,0000203272320400,638e9b8909995955 |
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)