Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124A3FD234269392A4437C3C034BA5B3BE1A6999FFEE709405EDCC7F62AF9C90741A51D |
|
CONTENT
ssdeep
|
1536:ONvatpR4nXBKpSpFl26vt09enbHxB0LBY:PUM2uY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d29d3136d2f |
|
VISUAL
aHash
|
00030e3e2e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcbd7700 |
|
VISUAL
wHash
|
00070f3f6f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cdcdcbf7700,dcbf7cfcdcfcb377,d04b49c4544d5d36,1e472113161c3434,ec114c3232080041 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)