Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F545B36D1640733858F47CCE3F56016D12AD1CCE256B94E7ADE827AFE8EC809CB1A49 |
|
CONTENT
ssdeep
|
1536:7gwtvFlZvK1vmtEgFp3jETTTY++FjPg9mdHOMuM33/fOPt4fP7tiKTqt5NV1NDGE:QvmtEgL3gTTTY+iz/HyMLgf1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13e3ed1c036b94d |
|
VISUAL
aHash
|
0000007e7efa70ff |
|
VISUAL
dHash
|
b26931c0d29ae4e5 |
|
VISUAL
wHash
|
0000007e7efe7cff |
|
VISUAL
colorHash
|
122000001c0 |
|
VISUAL
cropResistant
|
8081899999991929,e1c5e4e4e4193935,b26971d4c2da9ae4 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)