Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F82447022420FBF615B85D076F2879B618DE704C957D38A63E8416B6ECACE1DDA238D |
|
CONTENT
ssdeep
|
192:Nu5TGGt5Tm5f/IM9x4898lNyfmWmhHeb5eTxqekOOzf:eGGt565YM9xAjyfXmhHm0TxqPOOL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9433c79f1898c771 |
|
VISUAL
aHash
|
bfc3e3ce0e7e7e3e |
|
VISUAL
dHash
|
2b8e4eb4b4e4f4e4 |
|
VISUAL
wHash
|
a7c3014e0e3e3e3e |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
2b8e4eb4b4e4f4e4 |
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 270 techniques to evade detection by security scanners and make reverse engineering more difficult.