Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A22607093A6792301A382C1AB766B5B73E18248D7530B0163FCC36EAFCAC96DD175C1 |
|
CONTENT
ssdeep
|
192:0ZfPSQDXr0UQuJvzuEeVu+OiHRW7vPqw5aXgk:KfDDNpK3VRT+Hqw5at |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab0b56bd7946289 |
|
VISUAL
aHash
|
c1f3febc3880dbfe |
|
VISUAL
dHash
|
13ab4d61490533a8 |
|
VISUAL
wHash
|
81c3fcbc3800d9fe |
|
VISUAL
colorHash
|
07001030040 |
|
VISUAL
cropResistant
|
13ab4d61490533a8,232b2bd4d4d45444,2b2313276e6e2713,b000c06c0230144e,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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.