Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15443E9B3D36C11BF1B1343C59A00176A71E5848EE70F15E5B1AEC29923FEEA02572B87 |
|
CONTENT
ssdeep
|
1536:7Ea46VG1NDt+a8hR8FEZv/Owpc65k+aJSdc4R:7H4bua8hR8FEZOwpcTN4R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9493616566d533c |
|
VISUAL
aHash
|
00fbebfbffffc3c3 |
|
VISUAL
dHash
|
dc92d2d29af03336 |
|
VISUAL
wHash
|
00cbcbcbc3ff8183 |
|
VISUAL
colorHash
|
06000000030 |
|
VISUAL
cropResistant
|
dad2d2929ce03326,008092ccc4c22000,4a0080004103938e |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.