Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED825034545DFD3702A3B2ED6732275FB281E681D8A31A6496FC87E85FE8D019CB2906 |
|
CONTENT
ssdeep
|
192:XBJPmUjP44s/EmXjKwUMcBJ04voYu3hvhOZAEL7LHX09CiDkC2yjCEsCS9DCbu:RJxP44sHoru4vbE7AeE1hMu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83573cd1c3ce68b1 |
|
VISUAL
aHash
|
3c0000746e600301 |
|
VISUAL
dHash
|
d07066c8c8d62e47 |
|
VISUAL
wHash
|
7e3c007e7e630707 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
d07066c8c8d62e47 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.