Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C234A726332B8B883DB91EEF7382E46B2D5949DE8C74450B5C95A8D23C3CC16197BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8ARF4iDatJZMmBltJ3MmBHUcix+y9dQpUDF1E56ITmHDLBABW8KPqh:a6+EsZ/8KOiDatzMmBltNMmBHUXx+y9W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd0d0e4d0c5f4d0 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
797969697d4f6f7d |
|
VISUAL
wHash
|
ff8dbdad85818181 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
797969697d4f6f7d,fddcccccdccfcfdf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.