Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E234B726722B8A843DB91EEF7383D46B2D1489DF8CB4550F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aC4C+EsZx8/G8S4QuDawZMZB+wyMZB9w9r82+/9dtZkDieE565TmHEnkvdhfVPq8:aC4C+EsZ/8lQuDawZMZB+wyMZB9wh820 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91e46c686c95d1 |
|
VISUAL
aHash
|
a18f8f8d818f8181 |
|
VISUAL
dHash
|
63595d597b7f5769 |
|
VISUAL
wHash
|
fb8f8f8d818f8181 |
|
VISUAL
colorHash
|
1b203000000 |
|
VISUAL
cropResistant
|
63595d597b7f5769,b981392366301106,fe7e7edc3cfbfbfb,c0d0ccfa9a9a8e4f,6a989c9afafad2aa |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.