Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114E2A63171106A3B4187C2CEB362E72BA2A79349DA860555D2FE83FD0BE3D51CE3351A |
|
CONTENT
ssdeep
|
768:PS5y5NpQjKaWfsm7zNy7cEfpYeX9KD5D87sOy2+y9BH4crIe:EPoNxgKZ87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d928b |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
150d4b63cd0cb300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,0080800078908000,120d4b634bdd1c33 |
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)