Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D220FF000996E32824763FA8B6B2762B3A2C255E74D2A0057F997EC5BC8C34D94E953 |
|
CONTENT
ssdeep
|
192:GelI6krPEHjDumdraMyDvOfrNk7lat0dp+ocUfjIL0N3:GCI6krPEHjddWMyDvOfh6wKdp+ocWIQZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b29a993198ce66ce |
|
VISUAL
aHash
|
ffe7e7f7c7c3ffff |
|
VISUAL
dHash
|
316969690d8e3004 |
|
VISUAL
wHash
|
ff24e4e4c4c0f0f0 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
316969690d8e3004 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.