Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DE39431B150B53B400750EBF2267B3C19ACF35BFB1159E456B813B1FBA6CF529A10A9 |
|
CONTENT
ssdeep
|
768:d3d6EpIne+uFDTGg7Jsk1zxN7ak1zxNZk1zxNJRNT2KJc:vpInVg72k1FN7ak1FNZk1FNM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6ce646699993133 |
|
VISUAL
aHash
|
f3f3ffffc3c3c3c3 |
|
VISUAL
dHash
|
0424783044455c0e |
|
VISUAL
wHash
|
10303c3c20000000 |
|
VISUAL
colorHash
|
07202008040 |
|
VISUAL
cropResistant
|
0424783044455c0e |
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 311 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)