Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1423264F0D490AE77075381D5A7B67B6B36F1C245CF42094493F893AE5BCADA0CE2299C |
|
CONTENT
ssdeep
|
192:QaTGqw0zYEnXc6ZO8iILd3T5lXfITptNtYy3qoCW88F:QayAbXcn1e99lPmpjyWPCW88F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac7c93d32567033a |
|
VISUAL
aHash
|
e7ff93f393ffff3f |
|
VISUAL
dHash
|
09302626264002d0 |
|
VISUAL
wHash
|
c58f010191ffcf0f |
|
VISUAL
colorHash
|
07000000280 |
|
VISUAL
cropResistant
|
09302626264002d0 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.