Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0235BB26322B8A843DB91DEF7382856B2D5488DF8C74554F6C95ACD23C3C807297BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8a49DawvMaBxMwBMaBx7wlr82+/9dtZkDieE565ThHbjoZDWphfBqE:ax+EsZ/8d9DawvMaBKwBMaB5wZ82+/9a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af98e4c19591c5b5 |
|
VISUAL
aHash
|
9981818181818181 |
|
VISUAL
dHash
|
717171794541454d |
|
VISUAL
wHash
|
ff8189bd81bda181 |
|
VISUAL
colorHash
|
3a000000c00 |
|
VISUAL
cropResistant
|
717171794541454d,7031f0f8cbc0c0cb |
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.