Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBC185B07155293F225389F2B975A73E64EDCB4EC16B9184D6FD829A27CACC0FC120E5 |
|
CONTENT
ssdeep
|
96:NL9YJZSYiNZYFiAm2nwPb8Lk1pXspVMpK10G8364LWYzPXTVYLgdt3MSzMmTHGoW:XYw4HIpcpVMpMN4COKLqtVklog |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc94963e94963e2 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
f3322a324c4dd588 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
43332a2a32324d4c,004031c6cec63090,4833c8ccc84b0000,55d448c5e4948c30 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)