Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101227233A600CD2E4E9B95C8F6C095895129D349FB3148CAB2A491FF7BC4CF069E976D |
|
CONTENT
ssdeep
|
192:hLjDodQ5uYL9zaUPRnGxLoBMcnthWeNWbv/fMmUU8VCoLI7:+QPL9zaUmoafMmUFCoLI7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b4f24ab6b64a |
|
VISUAL
aHash
|
f8f838f8f8ffffff |
|
VISUAL
dHash
|
73f27372d1030000 |
|
VISUAL
wHash
|
7818181818f8fffe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
73f27372d1030000,aaaab23a3baaa6aa,def969bee849befe |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.