Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161D142E1C454DD37435386D9A7F16B0BB391C349CB47098097F883EB9BDACA0DE616A8 |
|
CONTENT
ssdeep
|
96:TkaaSzeFvMSNuSTmtu0ytmMfrSS1FwvFaQepXXHFBeZXPz/Yyt7w6fGJ:QFSzeFd5ak0yYMfDFqRzAyS0A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55955a4aa5a58b |
|
VISUAL
aHash
|
fcfcf3f0f0d0ffff |
|
VISUAL
dHash
|
0410260505150012 |
|
VISUAL
wHash
|
e0f0d0c0c0c0ffff |
|
VISUAL
colorHash
|
07481000000 |
|
VISUAL
cropResistant
|
0410260505150012,77538f972e0e1e3e,074f972ba3974d17 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.