Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135329233A600DD2A8D9B91CCF5C099885159C349FB3148CAB1B490FF7BC8DF069A83AD |
|
CONTENT
ssdeep
|
192:g5ks4dQz2xvMcnthWeNWbME1dFW4NVoVfMmUU8VCogF:P/odFW4NVoVfMmUFCogF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33331cccc71330f |
|
VISUAL
aHash
|
c74747c7ffffffff |
|
VISUAL
dHash
|
9d9d9d9c40180000 |
|
VISUAL
wHash
|
040404041ffffffe |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
9d9d9d9c40180000,fdb37170fdfdffff |
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.