Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135234B726322B4A843DB91EEF7383D56B2C2589DF8C74550F5C99A8D23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aZic+EsZx8/G8g4unDawvmMcB0TwvTIMcB00w9r82+/9dtZkDieE565TmHEnkvdv:ax+EsZ/8DiDaw+McBcwLIMcBLwh82+/l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f895c2c7c695d191 |
|
VISUAL
aHash
|
c381c181c3c3c3c3 |
|
VISUAL
dHash
|
332b3333232b3333 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
32002000e00 |
|
VISUAL
cropResistant
|
332b3333232b3333,33697133303031a4 |
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.