Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6234A726732B8B843DB91EEE73C2D56B2D2588DF8C74554B5C95A8D13C3C802297BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8Oei4DDaw0MbBDwzMbBiwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:ax+EsZ/8Oe1DDaw0MbBDwzMbBiwcN2/R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffffd1898f8393d |
|
VISUAL
dHash
|
0987313979196969 |
|
VISUAL
wHash
|
fff9f9080808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0987313979196969,2f5747575f321b87,45459bd8c42b5529 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)