Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14892E86350406A370E6741D3EB61976EE39982D0E2231AC1E2EDD39C4B9DED7CD37542 |
|
CONTENT
ssdeep
|
384:9G0kjLUJu/zxi7+0Lnj75MwI/V3rMPwi+chzY:9G0kcWzxF0Lf5Mw6VbJi+gY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c596323a6ccdcd38 |
|
VISUAL
aHash
|
706c787838787860 |
|
VISUAL
dHash
|
d4ccc2c2e2c2c0c4 |
|
VISUAL
wHash
|
787e787878787860 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
d4ccc2c2e2c2c0c4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.