Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1543134111010556A36CBDAECFBE9A30B7543C546CEC21744F3E813ED2AD9CA7EDA1780 |
|
CONTENT
ssdeep
|
24:hR/COODpAecuDfuHWKJuzhRfwHNNCh1ygZ1NOy08RCQWdexWW+e/pLha:TCp1cC+WLKHNE2gZ1p8DdeK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a9a63c69999cc3c |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
dHash
|
7969717171716979 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
33400000003 |
|
VISUAL
cropResistant
|
8ea0eababeb2e2ac,7969717171716979 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|