Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D62A7F1A148041F3366D2C5EEA6AFCD6257C10ACB06456AFAB5245BB6CEDF8C4B2350 |
|
CONTENT
ssdeep
|
384:fJSiSpWy5XB1tS7d79bC9zT0VB62T6z4Nk9Gs90s90s90zdte:fJjwWy5jtS7d79bC9zToB62TAtAs6s6y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b35933b3d82ae226 |
|
VISUAL
aHash
|
00000018ffffffff |
|
VISUAL
dHash
|
7910b0b2aa8ccece |
|
VISUAL
wHash
|
00000018ffffe7ff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
b2b2b20ccececeea,7b79111014b233b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.