Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CB30E23415975274837C3D130699B3BE1AAD99FFAE70A004EECC7F62AF9CA0745B119 |
|
CONTENT
ssdeep
|
1536:5StpR4nXBKpSpFl26v68axUvzXN4l4iFrC6xFP4G:cUMsaurU/h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252e9292fed29e1 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
1c8cccecccdc002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
12008000e00 |
|
VISUAL
cropResistant
|
5334bc88d2ac2411,0000402020c00000,8000418181410080,00004080a0004080,88a424a5962e9283,9c000957561b2b2b,c10cccccececccdc |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.