Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1925DA78D9A40DB3615B2D044572E39DC80CC3F56E24A4CA5BFE2A4F7B68E1F61E344 |
|
CONTENT
ssdeep
|
192:+7Ra5OQrVeJyvUlpG0iVy25RFw3p59qerHbEvj:+k5OQpeo8ft3Ww5uk70j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5e57419dd4e248d |
|
VISUAL
aHash
|
6ae373b99b0000c6 |
|
VISUAL
dHash
|
d6c6c663531bab2e |
|
VISUAL
wHash
|
6be373a9af0015c6 |
|
VISUAL
colorHash
|
19006008000 |
|
VISUAL
cropResistant
|
4c7c7a3a12baabab,80e959c964363777,1926361898487272,d6c6c663531bab2e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.