Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAB3A5D08019457B14B753EEAB61B6D9B3EA42C6D76302B203E4434C4BD9F28DDAB47B |
|
CONTENT
ssdeep
|
1536:sa1SeOgkpT8njmy6bwe7ZGpzgevHEAtq2GjGEq5:QTq5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7bc7906b4b84b34 |
|
VISUAL
aHash
|
fff97cff36300000 |
|
VISUAL
dHash
|
7541e8e4e4e1d949 |
|
VISUAL
wHash
|
ff78fefe36300000 |
|
VISUAL
colorHash
|
07403000040 |
|
VISUAL
cropResistant
|
415d5dfff7edd294,4148e0e466e46145,7ef2a30b7ac2b081,8eb6f1569cd8f1b3,000028b2b2300800,10c5e14a60cc1871,a176174b789f2138,6466e46145da2949,83b1b9b13232b3b0 |
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 130 techniques to evade detection by security scanners and make reverse engineering more difficult.