Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103234B72A332B86843DB91EEF7382D55B2D6489DF8C74414F1C99A8D23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8B4fDaw/MWB9owLMWB92Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvw:aR+EsZ/8yfDaw/MWBKwLMWB0UXx+y9dB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3bcec86c3a1b1c6 |
|
VISUAL
aHash
|
ff00003c3c3c3c3c |
|
VISUAL
dHash
|
203028c4e8d0c0c0 |
|
VISUAL
wHash
|
ff18003c7c3c3c7c |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
00000c0c0c080000,303048c0e0d0c0c0 |
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.