Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D91217420147C3B4682C2D8EBB1A78E63D2C325CA831B45D2F8978E6FEBDE1CC45556 |
|
CONTENT
ssdeep
|
96:/o+9sSZqbrLDh99EXIoFmoIGHJ9Ey4JfFl/EgYUyng:/okMrLDraYEmTGHJaJDEgx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b3364e499 |
|
VISUAL
aHash
|
ffdcf2c24cffff30 |
|
VISUAL
dHash
|
e658644498611c20 |
|
VISUAL
wHash
|
ff1c10300cffff00 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e658644498611c20,070bcbbfad6d4d7d |
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.