Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8A1A75081154C3E8183C6DCE3923BA531DED246C7861A0856F983B65BF7D8AEE266F1 |
|
CONTENT
ssdeep
|
96:82k6WeEWR4FkBT9FTIAKULF9dgZlec4kY:82k6wo4FkBTjTIAtPd2NY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32666ce99236666 |
|
VISUAL
aHash
|
e7e7e7ffffe7e7e7 |
|
VISUAL
dHash
|
4d4d4d4c2a4d4d4d |
|
VISUAL
wHash
|
20202424ffe7c7c7 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4d4d4d4c2a4d4d4d,4245414141414141,00102c3232200800,a120a1a1a1a10000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.