Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125E2C53171107B3B42D7D3DDB361F72EA2A78249E706050592F987AE1BE3E50DA3361A |
|
CONTENT
ssdeep
|
768:LS5y5NSWBxd5pZ8lRN5nFYC2jl4F7sOy2+y9BH4cLIe:Fn8lujqF7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec128d6d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b4bc96cf300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeff9e9efffefe,0080800078908000,1109494b5bc9ece0 |
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)