Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6612123445AA45F530E87C092F1B6A79497C50FDE604F41DAA84BD7E5C9FB1F07221D |
|
CONTENT
ssdeep
|
96:U/RZKJKLRviRG/7I7qN0SwIzfgR1PzkWS6HASyTBkC:UpAOR6RG/s7s0KzfgR1PzrS6HASydT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc669933 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c30b2b2b2b2320c |
|
VISUAL
wHash
|
81999999b9b99981 |
|
VISUAL
colorHash
|
38000018080 |
|
VISUAL
cropResistant
|
14209e9e9e966804,0c30b2b2b2b2320c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.