Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED1A5B07154293F225385F2B975A73E64EDCB4EC16B9184D6FD829A27CACC0FC120E5 |
|
CONTENT
ssdeep
|
96:N1c9YJZSYiNZYFiAm2nwPb8Lk1pXspVMpK10G8364LWYzPXTVYLgdt3MSzMmTHGX:rgYw4HIpcpVMpMN4COKLqtVklog |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc94963e94963e2 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
f3322a324c4cd580 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
23322a2a32324d4c,000031cec6c620d0,55d448c5e0908830 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)