Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C63627141867A3F608382D18355E36AD786E306C76B8AC6EBFC531B26C6DA0ED35538 |
|
CONTENT
ssdeep
|
1536:2v7li85KDcAA0DIE8yWHZ0ziHiYw01ax8RQ8cA:266OzCV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2e96d696b9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8693c8d0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c4c,9687f393c0c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764 |
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.
Pages with identical visual appearance (based on perceptual hash)