Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEF1957011451A3F93476BF8F661F76890EED258DA9BD80892BC11E233C7C94ED23B98 |
|
CONTENT
ssdeep
|
96:KzPgKFkknDk6eo3WPnwerk5QyMGnn4nweIuUJI/UZt/Uuv90ZkzDeoj84N2+4z7q:KzPgKqWUIOSXZxJT3sZZiJwze+1zCG3A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbcd3432c3c39c9c |
|
VISUAL
aHash
|
00103c3c3c3c0000 |
|
VISUAL
dHash
|
08707068e8686000 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
08707068e8686000 |
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.