Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0226133A600DD2A4E9B95CCF6C4A548425DC349FB3048CAB1A491FF7BC4DF065A93AE |
|
CONTENT
ssdeep
|
192:uxMxnlgdkvy0nIxCJnMcnthWeNWbufMmUU8VCoyxY1xGxOxPxlxf:uxMxukvyCJzfMmUFCoyxY1xGxOxPxlxf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3330dcccc743333 |
|
VISUAL
aHash
|
004747ffffffff3f |
|
VISUAL
dHash
|
f09c8c88a0a080c0 |
|
VISUAL
wHash
|
0000477f7f7f7f00 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
f09c8c88a0a080c0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.