Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E74F7E063A492F8F142F7F881236C617A6328FABA12D949C3F55D54DEA255C8DC9CC3 |
|
CONTENT
ssdeep
|
1536:4TAMuBAZ+TReKsLUPDGotk0686SinHGCwh3aEhATpNKsiYpIAuVpeMO6qPmKZwRb:osTVSThJVW/sTVSThJv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92fd121ec56b68d2 |
|
VISUAL
aHash
|
1e4ee3f37e000c3c |
|
VISUAL
dHash
|
6c8c8f86eceddcc4 |
|
VISUAL
wHash
|
1e4ee7f37e000c3c |
|
VISUAL
colorHash
|
06600030000 |
|
VISUAL
cropResistant
|
0040454d4d504880,2c8c8b87ceece559,d5b52666e6ceccc8,b28e8e59691796e8,0c7030300cb2b0b2,c989a3b92922696e,b59494f77e9c8c5c,acece55f58ccd4cc |
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 540 techniques to evade detection by security scanners and make reverse engineering more difficult.