Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCE151E1C408DD374B1286C5F7F56B4BB692C359DB06098093F842EBABCEC60CB1269D |
|
CONTENT
ssdeep
|
96:TkG4zdaPfSTh0yt7e7yt7C4wvFN4e2OXbHFiedXtX/MRDCrJ:QG4zdaid0y47ys/X2UzzXkBC1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ba0e49bb1ce8ab1 |
|
VISUAL
aHash
|
ff00183c3c3c1800 |
|
VISUAL
dHash
|
6896696979696996 |
|
VISUAL
wHash
|
ff003c3c3c3c3c00 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
0000000000000000,1151335b5a1aa686,0669697979696906,24aca41220636723 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.