Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F235C726732B8A883DB91DEF7382E46B2C2988DF8C74554B5C85A8D13C3C807197BB4 |
|
CONTENT
ssdeep
|
1536:aw+EsZ/8T6OODawBM6BNw1M6BYw0N2/y9dGXDiJZBlvy40hxwk:apopwpwABN2aDSw0H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b515caea60eecbc0 |
|
VISUAL
aHash
|
0002020202ffffff |
|
VISUAL
dHash
|
9e9aaa9e9e620100 |
|
VISUAL
wHash
|
000e0a020affffff |
|
VISUAL
colorHash
|
16000230000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,9e8a9a969e009400,8269dc94b4b653ac,809e9e8a9abe969e |
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)