Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9924CA68D9A40DB3515B2D044572E39DC80CC3F56E24B4CA5BFE2A4F7B68E1F61E384 |
|
CONTENT
ssdeep
|
192:+7cCOQrWfeRAZwZpGGi6N106mpGw3859qmrHbEvj:+rOQceRR/l1sGwsuM70j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddc9c683d707068e |
|
VISUAL
aHash
|
3c181899bb0206c6 |
|
VISUAL
dHash
|
d032333353daaa2c |
|
VISUAL
wHash
|
3c981899ff003fce |
|
VISUAL
colorHash
|
39401010000 |
|
VISUAL
cropResistant
|
c7b33735b4b4b4f4,80e959c964363777,1926361898487272,d032333353daaa2c |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.