Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE3231B14002323702A7C6C49B2AFBE9F3C2412DCE670901ABF1975A67DFD61DF9161A |
|
CONTENT
ssdeep
|
192:FF/jzgnxafZK14cFJL3mfv/C4pqktUzJNO8oTCGj7sCcyb03Jb:v4nxafZKB3wlpqktUzICecPb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f96e3a561545450f |
|
VISUAL
aHash
|
00c1fffafffeffdb |
|
VISUAL
dHash
|
a50d569694969696 |
|
VISUAL
wHash
|
0080fbdadacadbca |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
a50d569694969696,05452594e5c9354d,0000000000000000,9892362c4779e1c3 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.