Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE02F2D1C444DC3A135356D5B7B56B5B77A2C384CF060A4813F493ABAFCFDA08A139AA |
|
CONTENT
ssdeep
|
96:Tk/S8n79oh4lzH03feG4Vr93EBgrwvF3ehX/HFzeBX8z/ITVr/de7QdVR:Q6e79oh4lzH0314P3ESlI+zAFmQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9383457cbc3cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
06c9f120683327c8 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
ddc92a3038300848,0300000000000000,04044024cbdcd1c9,793b07332321ec63 |
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.