Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD334B726731B8A983DB41EEFB382D5AB2C54499F8C74400F5C996DD23C7C916287BB4 |
|
CONTENT
ssdeep
|
1536:aDITL+EsZ/8f4DVRoMjB8R5MjBVDrpRXPZlQaQD9OehM+BrUgq4z:aDITUxRKRYDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa7895c591919595 |
|
VISUAL
aHash
|
c181818181c181c1 |
|
VISUAL
dHash
|
2b2b3b3b3b2b2b2b |
|
VISUAL
wHash
|
ffc1c1c1c1e3c1c3 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
2b2b3b3b3b2b2b2b,db923f3fbe8edf8e |
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.