Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC235B726722B4A883DB91EEFB383D96B2D5488DF8C74450F5C95A8D23C3C916187BB4 |
|
CONTENT
ssdeep
|
768:aT+EsZx8/G8tRF47DawTOM7Bpw9M7BCw9r82+/9dtZkDieE565TmHEnkvdhfVPql:aT+EsZ/8fO7DawTOM7Bpw9M7BCwh82+I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3cbc91859195b1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
71614d4541414545 |
|
VISUAL
wHash
|
ff8181bda1b981b1 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
71614d4541414545,32238cc0c0c090c0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.