Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18373633053081F3FA90B87A4E6A5B73961AD939AD61FC418F57C02B25B87D88DD336D8 |
|
CONTENT
ssdeep
|
768:a9ztLxVTZiNBj61JIvecVHec+MechAecIubFIUvSnnoK9h+b6zUW+eze/e9mtHu:+Yj6UB1rhqW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9514f26bc42cf547 |
|
VISUAL
aHash
|
000e1e13120000ff |
|
VISUAL
dHash
|
9cbc76e66a1adb84 |
|
VISUAL
wHash
|
0e1e3f1f3b0200ff |
|
VISUAL
colorHash
|
000020001c0 |
|
VISUAL
cropResistant
|
0000000001000000,94bc7c76666a1ac3 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.