Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F832AB43A59F5625AF3439310EF1503B378562B540E4C60A350ECAE72BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:FHXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:FHXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8c3333abaaae8e |
|
VISUAL
aHash
|
9918383838000000 |
|
VISUAL
dHash
|
33b2233030100010 |
|
VISUAL
wHash
|
ff3c3c3c3c0000ff |
|
VISUAL
colorHash
|
38006000008 |
|
VISUAL
cropResistant
|
33b2233030100010 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.