Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15333637651862A2F1043C3E1E71EE62AD3C6DA0DC7A39E47F6F8832B51CADE09D36154 |
|
CONTENT
ssdeep
|
768:HaLcgKSs0UGlsEVVw7QSrtO+4koOO5l9LcgKSs0UGlsEVVw7QSrtO+4koOO5lPJH:8dPJ0pyeaWuZ0xxTAa89 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c9d31c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32f6cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e0ce7 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
fc8caeb6bab68c8c,9235718c4cb08482,0101000008304c4d,d12f3cccd4cccc33,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)