Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C13839621485BD5C1F38FD898102A857182EB9BC9718370C2F84E3A5BD25B5B68CF7F |
|
CONTENT
ssdeep
|
384:29gBg1YGyP9baO16ZD68UlJCT+pZXsv98lz4tQbO0vsFiYK/M74UZh3gl4oyask8:f14ksg4qhscY7UUjJoZyTX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55a2927725d8d |
|
VISUAL
aHash
|
e7ffffe7e7fcfcfc |
|
VISUAL
dHash
|
0e08100c0e0d1505 |
|
VISUAL
wHash
|
00e7efc7c3c0e4f0 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
0e08100c0e0d1505 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.