Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183732AE5E685FD13357300F3205A80C4F6F65C2BA51C3950B988DACAAAFA03726777E5 |
|
CONTENT
ssdeep
|
768:nT0TQH7YFcUm+T/Qg0f9Se2ockkzXyeWgEssXWoEc2aCCRUKeGMoAARF2KC8Iwwq:KB4g0zWzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd32643b32657c3c |
|
VISUAL
aHash
|
00fbf3fb9bfbfb72 |
|
VISUAL
dHash
|
96f2f6e23232e2f6 |
|
VISUAL
wHash
|
003072fb9bfb7a30 |
|
VISUAL
colorHash
|
00006000000 |
|
VISUAL
cropResistant
|
fcf8fcf9bcf8f8f8,8080c0606060e070,96f2f6e23232e2f6,7f4d31313101517f |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.