Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A2752EC258B4171DA3416BE5512B9C21838C07CEBE3A1341F9CB5E56F2D8DDD41AFA |
|
CONTENT
ssdeep
|
384:u0ovBIS3A33814LDQmDHD5DzDhD/DZDDDhDnD5DDDRDvD5DTDRDHD5DzDhDfDZDo:aZIS3A/qhOW0kxSzy430 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4644e9a31999b9b |
|
VISUAL
aHash
|
d3f3ffc3e7ffff00 |
|
VISUAL
dHash
|
27061a160696184c |
|
VISUAL
wHash
|
83c3cfc3f702c700 |
|
VISUAL
colorHash
|
07001038000 |
|
VISUAL
cropResistant
|
27061a160696184c,0008313131110800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)