Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E393B732D3521503D0A785D4F1321B4A73618A5ACA134BB577FD27BAFACECB53722298 |
|
CONTENT
ssdeep
|
1536:L7ctv7XxUOeeRXeSsDweKPUgOd61qsXpsFUevcEUks4Qtxj+V4MoyFDsyVs843kd:m1uKPUgOd61Kk4BVBnlxk222I222222q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cfcf39309380c7 |
|
VISUAL
aHash
|
fff1ffc7c7c1c7c5 |
|
VISUAL
dHash
|
4b23e48daf8f8c8d |
|
VISUAL
wHash
|
bde17ec74441c744 |
|
VISUAL
colorHash
|
03200030040 |
|
VISUAL
cropResistant
|
4b23e48daf8f8c8d,9192a2b0a9a022a2,623068f0202c3624,d6693248cccc442c,67697d692b3121dc,9793d64569827171,9593e11ce0f080e0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.