Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B173B732A65668179197D2D5F2718B1F22828385C7030FA163F857BE7ECACF56E122DC |
|
CONTENT
ssdeep
|
1536:I3rMU2OUbJo+XuSIuKRbu7u5uXuouqRPozXEZgxwKBpf+mkR2GRleVO+eH99hGbg:ErM4EKiCUeT5xwK6mkR2k8VleH99hG38 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c324dcfc99e |
|
VISUAL
aHash
|
00007c7e0e6c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
00423e7e4e6e7e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8d8d0,f2f276261c75b597,432c8c9d8c8c4d57,2bebcbf92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)