Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA3BB234269752A4437C3C0307A6B3BE1A69D9FFEE70A414EDD87F62AF9C90741A11D |
|
CONTENT
ssdeep
|
1536:G1eftpR4nXBKpSpFl26vvU0kvAP3RGwOO2:3UMkNr2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92456d13136d6f69 |
|
VISUAL
aHash
|
001f013e2f0f0187 |
|
VISUAL
dHash
|
dcbf77fcdcdca73f |
|
VISUAL
wHash
|
000f033f3f0f13df |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcbcb73f,dcbd37fcdcdcb777,4b43930545da1b3a,4e8f8181a7a68e0a,74500c32320c11d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.