Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144D11D309568DC77518781D4B270AF4B37E48341CB630B0423F9A3BEAADACB6ED56295 |
|
CONTENT
ssdeep
|
96:TgMRz8VU9xlo4Zb301C5QkyUMjcp6HqNPS/Oa:rp9RbEw/yUMjA6HqNPUOa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b663c9c9639ccd05 |
|
VISUAL
aHash
|
e7e7e7c7e7e7dfff |
|
VISUAL
dHash
|
cc4d4c0c4c0c362c |
|
VISUAL
wHash
|
e6e7878687838387 |
|
VISUAL
colorHash
|
070000080c8 |
|
VISUAL
cropResistant
|
cc4d4c0c4c0c362c,3370e0a4a0a0f071 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)