Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB5275A15025A92B1363C6D5B7B2F75AFB418147CE82454FD0F9E35C2BE2D71ED2A320 |
|
CONTENT
ssdeep
|
192:i3YsnFbOY2FwtkyGGMZ+FXJKQM6kSZ5pS5c1ri:2FCYvkyGHZSvpMk2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7161c61e36d1696 |
|
VISUAL
aHash
|
00041c02e3e3fbff |
|
VISUAL
dHash
|
4e7cfc4a0f0f0334 |
|
VISUAL
wHash
|
00041c03e3e3ffff |
|
VISUAL
colorHash
|
06000008c00 |
|
VISUAL
cropResistant
|
cce2f17c5eee7231,7cbc6c0b0f0b0334,26ad5b74bcbc6c6c,48cc0c8682907169 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)