Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C38EF83158B176166387E6A06F2103B37D153B9C0E4C30A2A4EDDDAAF8C9B9417ED5 |
|
CONTENT
ssdeep
|
1536:B2/2+mdWDsVnzqlwlUuRNka2wblHbJLwLIz9GguGOjjRnK:ggn+lcrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e59838c367836766 |
|
VISUAL
aHash
|
e387c3e3e3e3e3e3 |
|
VISUAL
dHash
|
2f3f2e0f4f4f4f47 |
|
VISUAL
wHash
|
8383c3c3e1e1e7e1 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
2f3f2e0f4f4f4f47,80542a68d4142290 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)