Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A282D77205060F6B9243A3D4DF6EB5063182409BF7F49598E3E981ACCCE5CEB493C59E |
|
CONTENT
ssdeep
|
384:ZmMVgd2C20d2C2kvmd2Cod2Ce1bdRG+2gnpTwCP:4Wgd9/d9Zud9od9ubdR32UpT1P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece41be464931be4 |
|
VISUAL
aHash
|
fff3fbfff3ffff00 |
|
VISUAL
dHash
|
0406060606060033 |
|
VISUAL
wHash
|
00000000f3f3ef00 |
|
VISUAL
colorHash
|
07000000039 |
|
VISUAL
cropResistant
|
0406060606060027,0008301230081000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.