Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142C13331C05B292BF90381E8B1B0DB1F62D7434ED7820A5592FD026677CFD50F91A9DA |
|
CONTENT
ssdeep
|
96:Fuw06S8LUfANuZsdFYTYcBZbEYTPdp2sclJnaWLlIJQ6B:M6SJouZs3kBNTPdp2sclJnak2Qg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbb627c99c8981b6 |
|
VISUAL
aHash
|
ffe7ffffdc280000 |
|
VISUAL
dHash
|
f2cdca3329d15166 |
|
VISUAL
wHash
|
ffe7ffdb98080000 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
f2f1ccecb32b35d9,8c6cacdcd86a7e5c,f87e7f7ffffebdaa,a74918324d7d7145,2b2835d950516364,210830b2b2320c11,11043232b2300c21 |
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)