Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190225270D2A6792752A382C0AB766B6B73E18248D7530B0563FCC36EAFC6C96DD131C5 |
|
CONTENT
ssdeep
|
192:0ZfPSyDXr0UQuLvzuEIVu+OiZR47vPkw5aXgC:Kf9DN7KBVRT2Hkw5aT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca92b56bd7946289 |
|
VISUAL
aHash
|
c1f3febc3880dbfe |
|
VISUAL
dHash
|
13ab4561490533a8 |
|
VISUAL
wHash
|
81c3fcbc38009bfe |
|
VISUAL
colorHash
|
07001030000 |
|
VISUAL
cropResistant
|
13ab4561490533a8,232b2bd4d4d45444,2b2313276e6e2713,0000406c0230144e,1f3e3f7b333b9ef3 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.