Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9426233A600DD2A4DAB91C8F5C4958C516AD348EB314CCBA2B491FF7BC5DF029A53AD |
|
CONTENT
ssdeep
|
192:7du3rxebrWhMcnthWeNWbXkkJj1lzGhvfMmUU8VCoUl:BRbKEkkJj1lzGhvfMmUFCoUl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc733381cc |
|
VISUAL
aHash
|
c7c747c7efffffff |
|
VISUAL
dHash
|
4d4dcdcd4c000e02 |
|
VISUAL
wHash
|
04040404c7ffff81 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4d4dcdcd4c000e02,f9f378f9fdff7f7f |
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.