Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC41526050587C339257D2F8B3E1AA4B3682C703C747490043F4CB9DBEF6EA4CE96268 |
|
CONTENT
ssdeep
|
48:+kKUJhhzJzBgOV5M2Hx+MLEU59u5XS5vrM:jTLzBVLEU59u5C5DM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83fe7f0101018ffe |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0c8ccd5d8d0d0d0 |
|
VISUAL
wHash
|
3f3f3f3f3f000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
809098ac90808080,f184acb6b6ac84f3,0e71710e20000000 |
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.