Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149231B4272E6640CAB1617CED1738E2EDE4B962EE322D8AEEF85CD5C3344552C1FA50D |
|
CONTENT
ssdeep
|
768:ms9ti9QGQ76MErJ4roIDVOup5GQH7lc+9IWZ7awi4r5blxWQlhIVr6fp2k8:msi9QGQ64roIDTp1hX+WZ7Di4tlUQTI/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96696b263c64333 |
|
VISUAL
aHash
|
e7c3c1c3c3ffffff |
|
VISUAL
dHash
|
4d3733929a1b263c |
|
VISUAL
wHash
|
e78181c1c1c1dbdf |
|
VISUAL
colorHash
|
07002030000 |
|
VISUAL
cropResistant
|
4d3733929a1b263c,0058686800700010,000cd2f2520c0000,d3b99bd6d6d6cde7 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.