Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2234A726722B87843DB91EEB7382D56A2C2489DF8C74514F5C95ACE23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:aJy9g+EsZx8/G8C4nDawxMqBeMwvMqBeFCN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:aJy9g+EsZ/8VnDawxMqBdwvMqBRN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3f3f2fc0d0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7d7d353237313323 |
|
VISUAL
wHash
|
000081c3c3ff9fff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7d7d353237313323,ff7fdcd47ffbfbff |
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.