Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0031A623444746D233397D8FAA1BD6DF0C7B2AACF88C1A092FE579847E4FB0D419658 |
|
CONTENT
ssdeep
|
384:Zfk6MmH1+BtGCpVPUOoNP/GkXXDz/C8t7KmSeHKYBnFZb/I0:Nk6bH1+6CpJUOoF+kXX33yInF1Q0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3aaec28e2b2baaa |
|
VISUAL
aHash
|
e5b0ad2c680c00f0 |
|
VISUAL
dHash
|
4542494942180000 |
|
VISUAL
wHash
|
ffb0bd3c3c2c00f0 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
4542494942180000 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.