Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA376219729293B41BAD9C16B6547ABB3E2E50AC9830551F3FCC36C6FC9C44FD26839 |
|
CONTENT
ssdeep
|
1536:Tl62r60aVr6AamIqqqqqqqqqqqIrqqSz2OtyO:FKV2OtyO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3639c9c25b49cca |
|
VISUAL
aHash
|
e3e1e1c1e1ffffff |
|
VISUAL
dHash
|
4f4b4b0f4b200f0e |
|
VISUAL
wHash
|
e181e181e1dfc3c7 |
|
VISUAL
colorHash
|
062010000c0 |
|
VISUAL
cropResistant
|
4f4b4b0f4b200f0e,2d68b8276727b85a,dcd6cfcbebc8ab2b,6b6e76737bfa6e76 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.