Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E41317300A4DD7B6283D5F09B74BA0FA2C7C68ACB3B068627F8934D1AE1DA0CD13654 |
|
CONTENT
ssdeep
|
24:hZUltodXiDYx7Tgu7Ou7K/IUZfpp5Ut6pYHXxjj6T7S8T2NTuUlt4gqrTRk2NfNW:stbYSJ3I0fT5pUMdTGbtGe2F044iYcPK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2676c9cd88d9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
36cdb2b2b2320eb2 |
|
VISUAL
wHash
|
10307dfbf89b0279 |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
b6aa8ef2e2807153,36cdb2b2b2320eb2 |
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.
Pages with identical visual appearance (based on perceptual hash)