Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7F2A797210815E5C2F38FD898106950B286EA5FC9718370C2FC4E3E1BD25A6B799F7E |
|
CONTENT
ssdeep
|
384:pceseYvt63mEA3EThl88Oc6yiClfDbO0vsFiYK/M74UZh3gl4oyAMJthh2p:bYvmmluAsDhscY7UUjJoD+Cp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a0fa552ad70 |
|
VISUAL
aHash
|
bfffffe7e7fcfcfc |
|
VISUAL
dHash
|
6c0e0e280c080800 |
|
VISUAL
wHash
|
0083c3c7c3fce4fc |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
6c0e0e280c080800,4cccda94dca491cc |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.