Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEF153E1C004DD37431285D5FBF56B5F7692C349CF070984A3F882AB9BDBCA0CA16A99 |
|
CONTENT
ssdeep
|
192:QwbEHkhOhHWsUEd6lENMt+eQJxP4Rr7sQ7:QwbELxwENMtfQzI7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c69939c66331c9 |
|
VISUAL
aHash
|
ffffe7e7c3c3c3ff |
|
VISUAL
dHash
|
00080c4d0e9e0e04 |
|
VISUAL
wHash
|
fce4e4e4c0c0c0fc |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
00080c4d0e9e0e04 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.