Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18743DB29B528DD6A00EF7BE865F6182912BAF351F19129C9F956C3F10363E3CE637181 |
|
CONTENT
ssdeep
|
768:omfDr6O5nsBGl+zyfsRyTWAWku1byqLfzZpOzrVdb/AX/ml/Me:om/5s3ywsE9qdbE6N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f332574c4c4c5733 |
|
VISUAL
aHash
|
00efe7ffffe7ffff |
|
VISUAL
dHash
|
44080b272b0f0b0a |
|
VISUAL
wHash
|
00c7c7c3c3e3e3e2 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0f0e0f270b0b0b0a,0000a0d4d4c42200 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.