Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA127133F600DD2A499B56C8F6C49A49412DC34AFA314CC6B16092FF3BC5DF069A979D |
|
CONTENT
ssdeep
|
192:SdW2Vve3xoxMcnthWeNWbnfMmUU8VCorH:2W2pafMmUFCoL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb23d7287c827622 |
|
VISUAL
aHash
|
e7e7e7ff81c3ffff |
|
VISUAL
dHash
|
0f0b0f232b230000 |
|
VISUAL
wHash
|
8181818180fef1f0 |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0f0b0f232b230000,201c22b2b24c0000,4101d4d401616101 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.