Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E264F8E063A4A2F8F142F7F886236C657A6328FABA12D548C3F45D44DEA255C4DD9CC3 |
|
CONTENT
ssdeep
|
1536:vTAMuBAZ+TReKsLUPDGotk0686SinHGCwh3aEhATpNKsiYpIAuVpeMO6qPmKZwRo:bsTVSThJQSLsTVSThJj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92fd571ec46b6890 |
|
VISUAL
aHash
|
1c0ee7ff7e000c3c |
|
VISUAL
dHash
|
688c8f8feceddcc4 |
|
VISUAL
wHash
|
9c4ee3f77e000c3c |
|
VISUAL
colorHash
|
06600030000 |
|
VISUAL
cropResistant
|
0054494949594480,2c8c8f87ccece559,d5b52666e6ceccc8,b28e8e59691796e8,0c7030300cb2b0b2,838d8f2030296249,9431949484737610,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.