Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D82AC71E91A181F25DE1452F82AE1C56186B224F3F6F9953254C3CA73F986BC7B382C |
|
CONTENT
ssdeep
|
192:aclGlv8lKld8BZnclble4lwhldlwSlWXldlwSlWZldlwSlvmqto/oDo0o9oBoeoQ:1Vg2gnqBTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb1736633cc394c |
|
VISUAL
aHash
|
ffff181c00181800 |
|
VISUAL
dHash
|
1a7ab33168b2b20f |
|
VISUAL
wHash
|
ffff9fbc18101800 |
|
VISUAL
colorHash
|
30007000080 |
|
VISUAL
cropResistant
|
f0f8ecd6b6a498e0,808080a0b0808080,1a7ab33168b2b20f |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.