Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBE2E131D0022A6F6263DDD2F234FF49A0B7E70EC275940056A9875D7FC6EF8A76019A |
|
CONTENT
ssdeep
|
384:sfJkat06HsT8knOHda1FcUzhPTrVPzcYF96Oayf3n1LC:smeQnOHDCpC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6663399cc998c33 |
|
VISUAL
aHash
|
e7e7e7f7e7e7e7ef |
|
VISUAL
dHash
|
cc4d4d05055d4d4e |
|
VISUAL
wHash
|
42c3c3e320000400 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
cc4d4d05055d4d4e,03b2de855b594313 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.