Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF235B726332B8B843DB91DDF7382A06B2D6949DF8CB8554B5C996CD23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8mrXAw8k4vDat5M7BetBM7BWwZUcix+y9dQpUDF1E56ITmHDLBABW+:ax+EsZ/89fvDat5M7BetBM7BWwZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee843bd02e3ac26e |
|
VISUAL
aHash
|
fffff3b3f3ff0000 |
|
VISUAL
dHash
|
4967476767433575 |
|
VISUAL
wHash
|
85fff3b3f1f10000 |
|
VISUAL
colorHash
|
0fc01000200 |
|
VISUAL
cropResistant
|
4967476767433575,a01860e2a292926c,4e4f9591b1d9d9d9,cfe2cc8b87666a6a,55842d2b2d0e1d0d,01110db3b1d5d4d4 |
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.