Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CB2B5315149B93B2197D2F9A738AB4FB2E2D289CA7B570692F3C34C1FC5E50CC5225A |
|
CONTENT
ssdeep
|
384:Ln5nMnoknNAR22YWknywjup13hKvKGKzvKze1qEmYs/w2I2OWKLtNnRZ4yB:HN2OnV1xkXmkwqsVdLY6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c29634969696d33d |
|
VISUAL
aHash
|
261c3c7c7c7c0000 |
|
VISUAL
dHash
|
ccf049d9d1d13248 |
|
VISUAL
wHash
|
7e7e7c7c347c1800 |
|
VISUAL
colorHash
|
38c00010000 |
|
VISUAL
cropResistant
|
ccf049d9d1d13248 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.