Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D326233B100CD2A8A9B56CCF2C09688451ED346FB7148CB61A491FF7BC5DF065AA79D |
|
CONTENT
ssdeep
|
192:vA5Yc9cychDBOkAsxPDMcnthWeNWbnMfMmUU8VCo6:3c9cychDBOsgMfMmUFCo6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9926669999ce9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
00001c1c3c3c0c0c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ea660a2eab23082,304cb2b2b2b20c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)