Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155536DE57611F2245E7302A791AF651B733D145F6C0C0AA0B259EA9EF4B40CAE077FC9 |
|
CONTENT
ssdeep
|
768:FninYjTDLmf+8bH6TpieGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:xieDd8bHEp3zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b129cece6131cec6 |
|
VISUAL
aHash
|
ffffc3c3c3ffefff |
|
VISUAL
dHash
|
4e309e968e081e0e |
|
VISUAL
wHash
|
a0cfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000098 |
|
VISUAL
cropResistant
|
4e309e968e081e0e,d8d898dad8d8c800 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.