Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D162A7F1A148041F3366D2C5EEA6AFCD6167C10ACB06556AFAB4205BB7CEDF8C4B2354 |
|
CONTENT
ssdeep
|
384:f7zOz2SiSpWy5XB1tSTB79bC9zT0VB62T6z4Nk9Gs90s90s90zdte:f7zOz2jwWy5jtSTB79bC9zToB62TAtAS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a50c26b3991bf363 |
|
VISUAL
aHash
|
00000018ffffffff |
|
VISUAL
dHash
|
dce6c6b2aa8ccece |
|
VISUAL
wHash
|
00000018ffffe7ff |
|
VISUAL
colorHash
|
03001000180 |
|
VISUAL
cropResistant
|
b2b2b20ccececeea,dbaee6c686b233b2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.