Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C234B726722B8B843DB91EEF73C2D55B2D14899F8CB4450F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a7+EsZx8/G8a49DawaMDBDwEMDBkw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:a7+EsZ/8d9DawaMDBDwEMDBkwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff7f7f6380808086 |
|
VISUAL
aHash
|
000080ffffffffff |
|
VISUAL
dHash
|
71717d1417181430 |
|
VISUAL
wHash
|
000000c7dfcfdfdf |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
71717d1417181430,ffcfb3b3e9f3ffff |
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.