Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F41DE708016DD2711A2D2D4E6B59F2F27828355DB030B62E3F8837E6FC9D68EF28494 |
|
CONTENT
ssdeep
|
24:htOupfpdMHCk8ghqyEFwh0IyST6jB7UTZ4XgURyPKKNCEIn1w8gtEyU:+up8iOpEFqvTyITJHPKApw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81030103177f7f7f |
|
VISUAL
aHash
|
007fffffffffffff |
|
VISUAL
dHash
|
d1d0218000000080 |
|
VISUAL
wHash
|
000f0f0f0000fdff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1c0208000000080,8040410145414080 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.