Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D81F3719018B93256A2C7EDFAB0A32EAAD2CB4DCA430649D2F5C34D2FC7EE4CC45111 |
|
CONTENT
ssdeep
|
96:6ctbPzkCvjdhtZBVd0ZhvOiBvlPCV5VdmPSyt8om:6c9xHtZTX1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cecee531316464ce |
|
VISUAL
aHash
|
c3ffbc0000000000 |
|
VISUAL
dHash
|
8669610620000000 |
|
VISUAL
wHash
|
f7ffffc38f000000 |
|
VISUAL
colorHash
|
000000c0006 |
|
VISUAL
cropResistant
|
9686696971696161,4145651191916145,6196680400000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.