Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3255833421935260537C6D430A95B3BD2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:yfIqINSc93J6cGi3Nu2JXGSkq8dC2NaebTrGtAqEBqMlOxOSp:ye/3GW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414cb2bd6d62796 |
|
VISUAL
aHash
|
ff0006060203ffff |
|
VISUAL
dHash
|
a9f0cccceeeb2848 |
|
VISUAL
wHash
|
ff0006060603ffff |
|
VISUAL
colorHash
|
130000101c0 |
|
VISUAL
cropResistant
|
0000855153430100,ccccecaef32d5c4c,0080a9a9a8a5a988,f1d4ccccecacefe3,000832323232120c |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.