Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5D381D56628438CA047C9BDEF2FFE05130FB5AABA558580298EC26C95CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:gw0RQ7HQIA+ZVmxXBnkPcyztsewDPuoGEFsR8MLqcuOFsR8MLqcMv:h0RQ7HbAWVmxXZkPcyztsfD0Lgm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3f2330de227e231 |
|
VISUAL
aHash
|
ffffffffff0000ff |
|
VISUAL
dHash
|
08140c0800000a08 |
|
VISUAL
wHash
|
e7c3c3e7ff0000e4 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0808140c08000000,0000100c0c080000,0000010606010000 |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.