Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCD132E1C405EE37876286D997F66B0BB6D2C35DCF021C4093F883AF57CAC60DA25999 |
|
CONTENT
ssdeep
|
96:TkQa4zejSTBjG4hYsb1FPyXdHFWKdXfdz/JCST5J:QQa4zeupG4hlb+Dzlb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c2323e6c2d |
|
VISUAL
aHash
|
00ff838387ffffff |
|
VISUAL
dHash
|
4c13373f3f241887 |
|
VISUAL
wHash
|
0083838383fcfff3 |
|
VISUAL
colorHash
|
06400608000 |
|
VISUAL
cropResistant
|
4c13373f3f241887,8040400888087080,59cdae1ad6f4b307,454d4d49494b6df0,072f3f2727263737 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.