Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133234A726332B86883DB92EEF7383D56B2D6489DB8C74414F5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aPEa+EsZx8/G8H4QLDatDMRB6ot0MRB62Ucix+y9dQpUDF1E56ITmHDLBABW8KPH:aPEa+EsZ/8YQLDatDMRBHt0MRB1UXx+0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2fe1f41e90d038 |
|
VISUAL
aHash
|
8181812581ffffff |
|
VISUAL
dHash
|
4951696969060000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4951696969060000,800001c2d2c10082,800000c0d0c000c0,800000c0c0000080,dcd0d0d4d4d4d4cc |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.