Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152B15471C05A293BB907C1D8B1B0EB0A72D7534EDB82096582FD027A37CFD51F91A9D6 |
|
CONTENT
ssdeep
|
96:Fuw/6S8LUfANuZsdFYTYcBZbEYTPdp2sclTSTfni1EdvB:H6SJouZs3kBNTPdp2scleDnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9990dc93c27c336 |
|
VISUAL
aHash
|
ffffffffdc280000 |
|
VISUAL
dHash
|
f2b2ca2b21d15166 |
|
VISUAL
wHash
|
7fffffdb98000000 |
|
VISUAL
colorHash
|
0e2000001c0 |
|
VISUAL
cropResistant
|
f2b3b2c8ab2b35d9,8c6cacdcd86a7e5c,f87e7f7ffffebdaa,274e4ede9edddddf,2b2835d950516364,210830b2b2320c11,11043232b2300c21 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)