Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5B2743300761E374B86D7E66752270AB24286D9DAD74FA173E1E61D0DF2EABDC00B49 |
|
CONTENT
ssdeep
|
384:GRUlabNDDbdgop7IMdCvVlHtnM7BWNpUtir/jeDF1u:GRUlabNDDbiop0RZdM7BWCirbe/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b499ccc3333c3c33 |
|
VISUAL
aHash
|
ffff8787efefc783 |
|
VISUAL
dHash
|
849a3e34dad82627 |
|
VISUAL
wHash
|
7e4e83838fef8181 |
|
VISUAL
colorHash
|
07203000080 |
|
VISUAL
cropResistant
|
849a3e34dad82627,6476b6b4868e3e38,4203701e433c2713,86e6cc545183cdc6 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.