ProofPoint Targeted Attack Protection
Proofpoint Targeted Attack Protection (TAP) helps detect, mitigate, and block advanced threats that target people through email.
Related Built-in Rules
Benefit from SEKOIA.IO built-in rules and upgrade Proofpoint TAP with the following detection capabilities out-of-the-box.
SEKOIA.IO x Proofpoint TAP on ATT&CK Navigator
CVE-2020-0688 Microsoft Exchange Server Exploit
Detects the exploitation of CVE-2020-0688. The POC exploit a .NET serialization vulnerability in the Exchange Control Panel (ECP) web page. The vulnerability is due to Microsoft Exchange Server not randomizing the keys on a per-installation basis resulting in them using the same validationKey and decryptionKey values. With knowledge of these, values an attacker can craft a special viewstate to use an OS command to be executed by NT_AUTHORITY\SYSTEM using .NET deserialization. To exploit this vulnerability, an attacker needs to leverage the credentials of an account it had already compromised to authenticate to OWA.
- Effort: elementary
CVE-2020-17530 Apache Struts RCE
Detects the exploitation of the Apache Struts vulnerability (CVE-2020-17530).
- Effort: intermediate
CVE-2021-20021 SonicWall Unauthenticated Administrator Access
Detects the exploitation of SonicWall Unauthenticated Admin Access.
- Effort: advanced
CVE-2021-20023 SonicWall Arbitrary File Read
Detects Arbitrary File Read, which can be used with other vulnerabilities as a mean to obtain outputs generated by attackers, or sensitive data.
- Effort: advanced
CVE-2021-22893 Pulse Connect Secure RCE Vulnerability
Detects potential exploitation of the authentication by-pass vulnerability that can allow an unauthenticated user to perform remote arbitrary file execution on the Pulse Connect Secure gateway. It is highly recommended to apply the Pulse Secure mitigations and seach for indicators of compromise on affected servers if you are in doubt over the integrity of your Pulse Connect Secure product.
- Effort: intermediate
Download Files From Suspicious TLDs
Detects download of certain file types from hosts in suspicious TLDs
- Effort: master
Email Classified As Malware But Allowed (Proofpoint)
An email was classified as malware with a threat score greater than 0 by ProofPoint TAP but was not blocked. The threshold on the Threat Score has been defined to avoid a high amount of false positives.
- Effort: advanced
Email Classified As Phishing But Allowed (Proofpoint)
An email was classified as phishing with a threat score greater than 50 by ProofPoint TAP but was not blocked. The threshold on the Threat Score has been defined to avoid a high amount of false positives.
- Effort: advanced
Email Classified As Spam But Allowed (Proofpoint)
An email was classified as spam with a threat score greater than 50 by ProofPoint TAP but was not blocked. The threshold on the Threat Score has been defined to avoid a high amount of false positives.
- Effort: advanced
Koadic MSHTML Command
Detects Koadic payload using MSHTML module
- Effort: intermediate
Nimbo-C2 User Agent
Nimbo-C2 Uses an unusual User-Agent format in its implants.
- Effort: intermediate
Possible Malicious File Double Extension
Detects request to potential malicious file with double extension
- Effort: elementary
Potential Bazar Loader User-Agents
Detects potential Bazar loader communications through the user-agent
- Effort: elementary
Potential Lemon Duck User-Agent
Detects LemonDuck user agent. The format used two sets of alphabetical characters separated by dashes, for example "User-Agent: Lemon-Duck-[A-Z]-[A-Z]".
- Effort: elementary
ProxyShell Exchange Suspicious Paths
Detects suspicious calls to Exchange resources, in locations related to webshells observed in campaigns using this vulnerability.
- Effort: elementary
Raccoon Stealer 2.0 Legitimate Third-Party DLL Download URL
Detects Raccoon Stealer 2.0 malware downloading legitimate third-party DLLs from its C2 server. These legitimate DLLs are used by the information stealer to collect data on the compromised hosts.
- Effort: elementary
SEKOIA.IO Intelligence Feed
Detect threats based on indicators of compromise (IOCs) collected by SEKOIA's Threat and Detection Research team.
- Effort: elementary
Suspicious URI Used In A Lazarus Campaign
Detects suspicious requests to a specific URI, usually on an .asp page. The website is often compromised.
- Effort: intermediate
Event Categories
The following table lists the data source offered by this integration.
| Data Source | Description |
|---|---|
Email gateway |
Proofpoint TAP inspect, classify and detect threats targetting people through email. |
In details, the following table denotes the type of events produced by this integration.
| Name | Values |
|---|---|
| Kind | event |
| Category | email, network |
| Type | info |
Event Samples
Find below few samples of events and how they are normalized by SEKOIA.IO.
{
"message": "{\"campaignId\":\"46e01b8a-c899-404d-bcd9-189bb393d1a7\",\"classification\":\"MALWARE\",\"clickIP\":\"192.0.2.1\",\"clickTime\":\"2016-06-24T19:17:44.000Z\",\"GUID\":\"b27dbea0-87d5-463b-b93c-4e8b708289ce\",\"id\":\"8c8b4895-a277-449f-r797-547e3c89b25a\",\"messageID\":\"8c6cfedd-3050-4d65-8c09-c5f65c38da81\",\"recipient\":\"bruce.wayne@pharmtech.zz\",\"sender\":\"9facbf452def2d7efc5b5c48cdb837fa@badguy.zz\",\"senderIP\":\"192.0.2.255\",\"threatID\":\"61f7622167144dba5e3ae4480eeee78b23d66f7dfed970cfc3d086cc0dabdf50\",\"threatTime\":\"2016-06-24T19:17:46.000Z\",\"threatURL\":\"https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/61f7622167144dba5e3ae4480eeee78b23d66f7dfed970cfc3d086cc0dabdf50\",\"threatStatus\":\"active\",\"url\":\"http://badguy.zz/\",\"userAgent\":\"Mozilla/5.0(WindowsNT6.1;WOW64;rv:27.0)Gecko/20100101Firefox/27.0\",\"type\":\"click\",\"status\":\"permitted\"}\n",
"event": {
"action": "permitted",
"dataset": "click",
"kind": "event",
"category": [
"network"
],
"type": [
"allowed"
]
},
"email": {
"local_id": "b27dbea0-87d5-463b-b93c-4e8b708289ce",
"message_id": "8c6cfedd-3050-4d65-8c09-c5f65c38da81",
"sender": {
"address": [
"9facbf452def2d7efc5b5c48cdb837fa@badguy.zz"
]
},
"to": {
"address": [
"bruce.wayne@pharmtech.zz"
]
}
},
"source": {
"ip": "192.0.2.255",
"address": "192.0.2.255"
},
"observer": {
"vendor": "ProofPoint",
"product": "Targeted Attack Protection"
},
"@timestamp": "2016-06-24T19:17:44.000Z",
"user_agent": {
"original": "Mozilla/5.0(WindowsNT6.1;WOW64;rv:27.0)Gecko/20100101Firefox/27.0",
"device": {
"name": "Other"
},
"name": "Firefox",
"version": "27.0",
"os": {
"name": "Windows",
"version": "NT"
}
},
"url": {
"original": "http://badguy.zz/",
"domain": "badguy.zz",
"subdomain": "badguy",
"scheme": "http",
"path": "/",
"port": 80
},
"threat": {
"enrichments": [
{
"indicator": {
"first_seen": "2016-06-24T19:17:46.000Z",
"last_seen": "2016-06-24T19:17:46.000Z",
"reference": "https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/61f7622167144dba5e3ae4480eeee78b23d66f7dfed970cfc3d086cc0dabdf50",
"type": "domain-name",
"url": {
"original": "http://badguy.zz/"
}
}
}
]
},
"proofpoint": {
"tap": {
"threat": {
"classifications": [
"malware"
]
}
}
},
"related": {
"ip": [
"192.0.2.255"
]
}
}
{
"message": "{\"GUID\":\"c26dbea0-80d5-463b-b93c-4e8b708219ce\",\"status\":\"delivered\",\"type\":\"message\",\"QID\":\"r2FNwRHF004109\",\"ccAddresses\":[\"bruce.wayne@university-of-education.zz\"],\"clusterId\":\"pharmtech_hosted\",\"completelyRewritten\":\"true\",\"fromAddress\":[\"badguy@evil.zz\"],\"headerCC\":\"\\\"Bruce Wayne\\\" <bruce.wayne@university-of-education.zz>\",\"headerFrom\":\"\\\"A. Badguy\\\" <badguy@evil.zz>\",\"headerReplyTo\":null,\"headerTo\":\"\\\"Clark Kent\\\" <clark.kent@pharmtech.zz>; \\\"Diana Prince\\\" <diana.prince@pharmtech.zz>\",\"impostorScore\":0,\"malwareScore\":100,\"messageID\":\"20160624211145.62086.mail@evil.zz\",\"messageParts\":[{\"contentType\":\"text/plain\",\"disposition\":\"inline\",\"filename\":\"text.txt\",\"md5\":\"008c5926ca861023c1d2a36653fd88e2\",\"oContentType\":\"text/plain\",\"sandboxStatus\":\"unsupported\",\"sha256\":\"85738f8f9a7f1b04b5329c590ebcb9e425925c6d0984089c43a022de4f19c281\"},{\"contentType\":\"application/pdf\",\"disposition\":\"attached\",\"filename\":\"Invoice for Pharmtech.pdf\",\"md5\":\"5873c7d37608e0d49bcaa6f32b6c731f\",\"oContentType\":\"application/pdf\",\"sandboxStatus\":\"threat\",\"sha256\":\"2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca\"}],\"messageTime\":\"2016-06-24T21:18:38.000Z\",\"modulesRun\":[\"pdr\",\"sandbox\",\"spam\",\"urldefense\"],\"phishScore\":46,\"policyRoutes\":[\"default_inbound\",\"executives\"],\"quarantineFolder\":\"Attachment Defense\",\"quarantineRule\":\"module.sandbox.threat\",\"recipient\":[\"clark.kent@pharmtech.zz\",\"diana.prince@pharmtech.zz\"],\"replyToAddress\":null,\"sender\":\"e99d7ed5580193f36a51f597bc2c0210@evil.zz\",\"senderIP\":\"192.0.2.255\",\"spamScore\":4,\"subject\":\"Please find a totally safe invoice attached.\",\"threatsInfoMap\":[{\"campaignId\":\"46e01b8a-c899-404d-bcd9-189bb393d1a7\",\"classification\":\"MALWARE\",\"threat\":\"2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca\",\"threatId\":\"2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca\",\"threatStatus\":\"active\",\"threatTime\":\"2016-06-24T21:18:38.000Z\",\"threatType\":\"ATTACHMENT\",\"threatUrl\":\"https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca\"},{\"campaignId\":\"46e01b8a-c899-404d-bcd9-189bb393d1a7\",\"classification\":\"MALWARE\",\"threat\":\"badsite.zz\",\"threatId\":\"3ba97fc852c66a7ba761450edfdfb9f4ffab74715b591294f78b5e37a76481aa\",\"threatTime\":\"2016-06-24T21:18:07.000Z\",\"threatType\":\"url\",\"threatUrl\":\"https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/3ba97fc852c66a7ba761450edfdfb9f4ffab74715b591294f78b5e37a76481aa\"}],\"toAddresses\":[\"clark.kent@pharmtech.zz\",\"diana.prince@pharmtech.zz\"],\"xmailer\":\"Spambot v2.5\"}",
"event": {
"action": "delivered",
"dataset": "message",
"kind": "event",
"type": [
"info"
],
"category": [
"email"
]
},
"email": {
"local_id": "c26dbea0-80d5-463b-b93c-4e8b708219ce",
"message_id": "20160624211145.62086.mail@evil.zz",
"sender": {
"address": [
"e99d7ed5580193f36a51f597bc2c0210@evil.zz"
]
},
"x_mailer": "Spambot v2.5",
"subject": "Please find a totally safe invoice attached.",
"to": {
"address": [
"clark.kent@pharmtech.zz",
"diana.prince@pharmtech.zz"
]
},
"from": {
"address": [
"badguy@evil.zz"
]
},
"cc": {
"address": [
"bruce.wayne@university-of-education.zz"
]
},
"attachments": [
{
"file": {
"name": "text.txt",
"mime_type": "text/plain",
"hash": {
"sha256": "85738f8f9a7f1b04b5329c590ebcb9e425925c6d0984089c43a022de4f19c281",
"md5": "008c5926ca861023c1d2a36653fd88e2"
}
}
},
{
"file": {
"name": "Invoice for Pharmtech.pdf",
"mime_type": "application/pdf",
"hash": {
"sha256": "2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca",
"md5": "5873c7d37608e0d49bcaa6f32b6c731f"
}
}
}
]
},
"source": {
"ip": "192.0.2.255",
"address": "192.0.2.255"
},
"observer": {
"vendor": "ProofPoint",
"product": "Targeted Attack Protection"
},
"@timestamp": "2016-06-24T21:18:38.000Z",
"rule": {
"name": "module.sandbox.threat"
},
"threat": {
"enrichments": [
{
"indicator": {
"first_seen": "2016-06-24T21:18:38.000Z",
"last_seen": "2016-06-24T21:18:38.000Z",
"reference": "https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca",
"type": "file",
"file": {
"hash": {
"sha256": "2fab740f143fc1aa4c1cd0146d334c5593b1428f6d062b2c406e5efe8abe95ca"
}
}
}
},
{
"indicator": {
"first_seen": "2016-06-24T21:18:07.000Z",
"last_seen": "2016-06-24T21:18:07.000Z",
"reference": "https://threatinsight.proofpoint.com/#/73aa0499-dfc8-75eb-1de8-a471b24a2e75/threat/u/3ba97fc852c66a7ba761450edfdfb9f4ffab74715b591294f78b5e37a76481aa",
"type": "domain-name",
"url": {
"domain": "badsite.zz"
}
}
}
]
},
"proofpoint": {
"tap": {
"threat": {
"classifications": [
"malware"
],
"scores": {
"spam": 4,
"impostor": 0,
"malware": 100,
"phish": 46
}
},
"modules": [
"pdr",
"sandbox",
"spam",
"urldefense"
],
"cluster": {
"id": "pharmtech_hosted"
},
"email": {
"to": {
"address": [
"clark.kent@pharmtech.zz",
"diana.prince@pharmtech.zz"
]
}
}
}
},
"related": {
"ip": [
"192.0.2.255"
]
}
}
Extracted Fields
The following table lists the fields that are extracted, normalized under the ECS format, analyzed and indexed by the parser. It should be noted that infered fields are not listed.
| Name | Type | Description |
|---|---|---|
@timestamp |
date |
Date/time when the event originated. |
email.attachments |
array |
A list of objects describing the attachment files sent along with an email message |
email.cc.address |
keyword |
The email address of CC recipient |
email.from.address |
keyword |
The email address of the sender, typically from the RFC 5322 From: header field |
email.local_id |
keyword |
Unique identifier given to the email by the source that created the event |
email.message_id |
keyword |
Identifier from the RFC 5322 Message-ID: email header that refers to a particular email message |
email.reply_to.address |
keyword |
The address that replies should be delivered to based on the value in the RFC 5322 Reply-To: header |
email.sender.address |
keyword |
Per RFC 5322, specifies the address responsible for the actual transmission of the message |
email.subject |
keyword |
A brief summary of the topic of the message |
email.to.address |
keyword |
The email address of recipient |
email.x_mailer |
keyword |
The mailer that send the message |
event.action |
keyword |
The action captured by the event. |
event.category |
keyword |
Event category. The second categorization field in the hierarchy. |
event.dataset |
keyword |
Name of the dataset. |
event.kind |
keyword |
The kind of the event. The highest categorization field in the hierarchy. |
event.type |
keyword |
Event type. The third categorization field in the hierarchy. |
observer.product |
keyword |
The product name of the observer. |
observer.vendor |
keyword |
Vendor name of the observer. |
proofpoint.tap.cluster.id |
keyword |
The name of the cluster which processed the message |
proofpoint.tap.email.to.address |
array |
The list of recipients from the TO header |
proofpoint.tap.modules |
array |
The list of modules which processed the message |
proofpoint.tap.threat.classifications |
array |
The list of classifications of the threat |
proofpoint.tap.threat.scores.impostor |
number |
The impostor score of the message |
proofpoint.tap.threat.scores.malware |
number |
The malware score of the message |
proofpoint.tap.threat.scores.phish |
number |
The phish score of the message |
proofpoint.tap.threat.scores.spam |
number |
The spam score of the message |
rule.name |
keyword |
Rule name |
source.ip |
ip |
IP address of the source. |
threat.enrichments |
array |
Threat indicators associated to the message |
url.original |
wildcard |
Unmodified original url as seen in the event source. |
user_agent.original |
keyword |
Unparsed user_agent string. |
Configure
Proofpoint Targeted Attack Protection
As a prerequisite, you need to create a service principal and a secret on the setting page:
- Sign in to the dashboard
- Go to
Settings > Connected Applications - Click
Create New Credential - Type the name of the new credential set
- Generate the Service Principal and Secret values by clicking
Generate
Create the intake
Go to the intake page and create a new intake from the format Proofpoint TAP.
Pull events
Go to the playbook page and create a new playbook with the ProofPoint TAP connector.
Set up the trigger configuration with the service principal, the secret and the intake key. Customize others parameters if needed.
Start the playbook and enjoy your events.