Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179B2E97248686D7642CFC7D0B258EB0FB69FC20EDBAA054516F803DA27E6DD0DC27516 |
|
CONTENT
ssdeep
|
384:K/LfWMBBuM19gLFvs3OxLT7XPlf+hkZl4+Vcvzm4c:gDWyBuM19gLFvs3OxLT7P0hVpz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8749e5d8e8315b8b |
|
VISUAL
aHash
|
f870281e3f1c07e3 |
|
VISUAL
dHash
|
f0c0e8ec68684ecf |
|
VISUAL
wHash
|
f870382e3f1c07e3 |
|
VISUAL
colorHash
|
07006000001 |
|
VISUAL
cropResistant
|
f0c0e8ec68684ecf,1e1e61e1f0f1b5b1,440016320460b070,e064e6b6363723c3,ee6e9a9a5b18ed6d,9a9634162b2984c4 |
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 625 techniques to evade detection by security scanners and make reverse engineering more difficult.