Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160B32E23426976274437C3C0306A5B3BD1A6998FFEE709014EDCCBFA6AF9C90B41A55D |
|
CONTENT
ssdeep
|
768:XR9tpR4nXF6YjOpSpFlTC6rrWYN9SW+gFJTPp81zOz:LtpR4nXBKpSpFl26vr+gvPiwz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2e12f1c92936d33 |
|
VISUAL
aHash
|
80e0e0fe7e580480 |
|
VISUAL
dHash
|
10c2c8dcdcb06c08 |
|
VISUAL
wHash
|
c0e0fcfefe7c0480 |
|
VISUAL
colorHash
|
19000008041 |
|
VISUAL
cropResistant
|
e1c1d1d3e3f247c6,8000806060800080,8000906068e08080,8080a06060800080,80008080a0a00080,10c2c8dcdcb06c08 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.