Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E325133E200DD6A4A9BA5CCF1C49648915EC345FB3148CAB26451BF7BC4DF0A9A93AD |
|
CONTENT
ssdeep
|
192:TzZV5IRGMYcCcycheHidFe2XxU2LPT51McnthWeNWbt/fMmUU8VCoW:TzH5IscCcychMidQD2pEfMmUFCoW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666626772666 |
|
VISUAL
aHash
|
1818181818000001 |
|
VISUAL
dHash
|
32b2b2b2320c1001 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3131 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ab8a2e2e232b2a0,32b2b2b2320c1001 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.