alirezaaminzadeh/secembed-pairs huggingface dataset:
Query: mitigate Code Signing
Matching passage: T1553.002 Code Signing. Tactics: defense impairment. Description: Adversaries may create, acquire, or steal code signing materials to sign their malware or tools. Code signing provides a level of authenticity on a binary from the developer and a guarantee that the binary has not been tampered with. (Citation: Wikipedia Code Signing) The certificates used during an operation may be created, acquired, or stolen by the adversary. (Citation: Securelist Digital Certificates) (Citation: Symantec Digital Certificates) Unlike [Invalid Code Signature](https://attack.mitre.org/techniques/T1036/001), this activity will result in a valid signature. Code signing to verify software on first run can be used on modern Windows and macOS systems. It is not used on Linux due to the decentralized nature of the platform. (Citation: Wikipedia Code Signing)(Citation: EclecticLightChecksonEXECodeSigning) Code signing certificates may be used to bypass security policies that require signed code to execute on a system.
Near-miss passage: T1553.005 Mark-of-the-Web Bypass. Tactics: defense impairment. Description: Adversaries may abuse specific file formats to subvert Mark-of-the-Web (MOTW) controls. In Windows, when files are downloaded from the Internet, they are tagged with a hidden NTFS Alternate Data Stream (ADS) named <code>Zone.Identifier</code> with a specific value known as the MOTW.(Citation: Microsoft Zone.Identifier 2020) Files that are tagged with MOTW are protected and cannot perform certain actions. For example, starting in MS Office 10, if a MS Office file has the MOTW, it will open in Protected View. Executables tagged with the MOTW will be processed by Windows Defender SmartScreen that compares files with an allowlist of well-known executables. If the file is not known/trusted, SmartScreen will prevent the execution and warn the user not to run it.(Citation: Beek Use of VHD Dec 2020)(Citation: Outflank MotW 2020)(Citation: Intezer Russian APT Dec 2020) Adversaries may abuse container files such as compressed/archive (.arj, .gzip) and/or disk image (.iso, .vhd) file formats to deliver malicious payloads that may not be tagged with MOTW. Container files downloaded from the Internet will be marked with MOTW but the files within may not inherit the MOTW after the container files are extracted and/or mounted. MOTW is a NTFS feature and many container files do not support NTFS alternative data streams. After a container file is extracted and/or mounted, the files contained within them may be treated as local files on disk and run without protections.(Citation: Beek Use of VHD Dec 2020)(Citation: Outflank MotW 2020)
Query: playbook for alert: Persistence mechanism resembling Traffic Signaling
Matching passage: Playbook for T1205 Traffic Signaling. 1) Validate alert telemetry against T1205. 2) Scope affected hosts and accounts. 3) Contain by isolating endpoint / disabling account if confirmed. 4) Hunt for related tactics: stealth, persistence, command and control. 5) Eradicate persistence and recover. Reference detection notes: Adversaries may use traffic signaling to hide open ports or other malicious functionality used for persistence or command and control. Traffic signaling involves the use of a magic value or sequence that must be sent to a system to trigger a special response, such as opening a closed port or executing a malicious task. This may take the form of sending a series of packets with certain characterist
Near-miss passage: Playbook for T1205.001 Port Knocking. Different response path focused on stealth, persistence, command and control.
Query: patch priority for CVE-2015-1626
Matching passage: CVE-2015-1626. CWE: CWE-399. CVSS: 9.300000190734863. Microsoft Internet Explorer 11 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted web site, aka "Internet Explorer Memory Corruption Vulnerability," a different vulnerability than CVE-2015-0056 and CVE-2015-1623.
Near-miss passage: CVE-2015-0217. CWE: CWE-399. CVSS: 6.800000190734863. filter/mediaplugin/filter.php in Moodle through 2.5.9, 2.6.x before 2.6.7, 2.7.x before 2.7.4, and 2.8.x before 2.8.2 allows remote authenticated users to cause a denial of service (CPU consumption or partial outage) via a crafted string that is matched against an improper regular expression.
Query: CVE similar to CVE-2015-5302
Matching passage: CVE-2015-5302. CWE: CWE-200. CVSS: 5.0. libreport 2.0.7 before 2.6.3 only saves changes to the first file when editing a crash report, which allows remote attackers to obtain sensitive information via unspecified vectors related to the (1) backtrace, (2) cmdline, (3) environ, (4) open_fds, (5) maps, (6) smaps, (7) hostname, (8) remote, (9) ks.cfg, or (10) anaconda-tb file attachment included in a Red Hat Bugzilla bug report.
Near-miss passage: CVE-2015-5610. CWE: CWE-200. CVSS: 4.0. The RSM (aka RSMWinService) service in SolarWinds N-Able N-Central before 9.5.1.4514 uses the same password decryption key across different customers' installations, which makes it easier for remote authenticated users to obtain the cleartext domain-administrator password by locating the encrypted password within HTML source code and then leveraging knowledge of this key from another installation.
Query: Multiple failed authentications followed by System Location Discovery
Matching passage: T1614 System Location Discovery. Tactics: discovery. Description: Adversaries may gather information in an attempt to calculate the geographical location of a victim host. Adversaries may use the information from [System Location Discovery](https://attack.mitre.org/techniques/T1614) during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions. Adversaries may attempt to infer the location of a system using various system checks, such as time zone, keyboard layout, and/or language settings.(Citation: FBI Ragnar Locker 2020)(Citation: Sophos Geolocation 2016)(Citation: Bleepingcomputer RAT malware 2020) Windows API functions such as <code>GetLocaleInfoW</code> can also be used to determine the locale of the host.(Citation: FBI Ragnar Locker 2020) In cloud environments, an instance's availability zone may also be discovered by accessing the instance metadata service from the instance.(Citation: AWS Instance Identity Documents)(Citation: Microsoft Azure Instance Metadata 2021) Adversaries may also attempt to infer the location of a victim host using IP addressing, such as via online geolocation IP-lookup services.(Citation: Securelist Trasparent Tribe 2020)(Citation: Sophos Geolocation 2016)
Near-miss passage: T1614.001 System Language Discovery. Tactics: discovery. Description: Adversaries may attempt to gather information about the system language of a victim in order to infer the geographical location of that host. This information may be used to shape follow-on behaviors, including whether the adversary infects the target and/or attempts specific actions. This decision may be employed by malware developers and operators to reduce their risk of attracting the attention of specific law enforcement agencies or prosecution/scrutiny from other entities.(Citation: Malware System Language Check) There are various sources of data an adversary could use to infer system language, such as system defaults and keyboard layouts. Specific checks will vary based on the target and/or adversary, but may involve behaviors such as [Query Registry](https://attack.mitre.org/techniques/T1012) and calls to [Native API](https://attack.mitre.org/techniques/T1106) functions.(Citation: CrowdStrike Ryuk January 2019) For example, on a Windows system adversaries may attempt to infer the language of a system by querying the registry key <code>HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Nls\Language</code> or parsing the outputs of Windows API functions <code>GetUserDefaultUILanguage</code>, <code>GetSystemDefaultUILanguage</code>, <code>GetKeyboardLayoutList</code> and <code>GetUserDefaultLangID</code>.(Citation: Darkside Ransomware Cybereason)(Citation: Securelist JSWorm)(Citation: SecureList SynAck Doppelgänging May 2018) On a macOS or Linux system, adversaries may query <code>locale</code> to retrieve the value of the <code>$LANG</code> environment variable.
Query: detection rule: Detects the execution of WMIC to query information on a remote system
Matching passage: Sigma rule: Detects the execution of WMIC to query information on a remote system. Logsource: windows / process_creation. Rule: title: WMIC Remote Command Execution id: 7773b877-5abb-4a3e-b9c9-fd0369b59b00 related: - id: e42af9df-d90b-4306-b7fb-05c863847ebd type: obsolete - id: 09af397b-c5eb-4811-b2bb-08b3de464ebf type: obsolete status: test description: Detects the execution of WMIC to query information on a remote system references: - https://securelist.com/moonbounce-the-dark-side-of-uefi-firmware/105468/ - https://learn.microsoft.com/en-us/windows-server/administration/windows-commands/wmic author: frack113, Nasreddine Bencherchali (Nextron Systems) date: 2023-02-14 modified: 2025-10-22 tags: - attack.execution - attack.t1047 logsource: category: process_creation product: windows detection: selection_img: - Image|endswith: \WMIC.exe - OriginalFileName: wmic.exe selection_cli: CommandLine|contains|windash: '/node:' filter_main_localhost: CommandLine|contains: - localhost - 127.0.0.1 condition: all of selection_* and not 1 of filter_main_* falsepositives: - Unknown level: medium simulation: - type: atomic-red-team name: WMI Execute Remote Process technique: T1047 atomic_guid: 9c8ef159-c666-472f-9874-90c8d60d136b regression_tests_path: regression_data/rules/windows/process_creation/proc_creation_win_wmic_remote_execution/info.yml
Near-miss passage: Sigma rule: Detects activity when someone is changing passwords on behalf of other users. An attacker with the "iam:UpdateLoginProfi. Logsource: aws / cloudtrail. Rule: title: AWS User Login Profile Was Modified id: 055fb148-60f8-462d-ad16-26926ce050f1 status: test description: 'Detects activity when someone is changing passwords on behalf of other users. An attacker with the "iam:UpdateLoginProfile" permission on other users can change the password used to login to the AWS console on any user that already has a login profile setup. ' references: - https://github.com/RhinoSecurityLabs/AWS-IAM-Privilege-Escalation author: toffeebr33k date: 2021-08-09 modified: 2024-04-26 tags: - attack.persistence - attack.privilege-escalation - attack.t1098 logsource: product: aws service: cloudtrail detection: selection: eventSource: iam.amazonaws.com eventName: UpdateLoginProfile filter_main_user_identity: userIdentity.arn|fieldref: requestParameters.userName condition: selection and not 1 of filter_main_* falsepositives: - Legitimate user account administration level: high
Query: campaign using Container and Resource Discovery
Matching passage: T1613 Container and Resource Discovery. Tactics: discovery. Description: Adversaries may attempt to discover containers and other resources that are available within a containers environment. Other resources may include images, deployments, pods, nodes, and other information such as the status of a cluster. These resources can be viewed within web applications such as the Kubernetes dashboard or can be queried via the Docker and Kubernetes APIs.(Citation: Docker API)(Citation: Kubernetes API) In Docker, logs may leak information about the environment, such as the environment’s configuration, which services are available, and what cloud provider the victim may be utilizing. The discovery of these resources may inform an adversary’s next steps in the environment, such as how to perform lateral movement and which methods to utilize for execution.
Near-miss passage: T1497 Virtualization/Sandbox Evasion. Tactics: stealth, discovery. Description: Adversaries may employ various means to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from [Virtualization/Sandbox Evasion](https://attack.mitre.org/techniques/T1497) during automated discovery to shape follow-on behaviors.(Citation: Deloitte Environment Awareness) Adversaries may use several methods to accomplish [Virtualization/Sandbox Evasion](https://attack.mitre.org/techniques/T1497) such as checking for security monitoring tools (e.g., Sysinternals, Wireshark, etc.) or other system artifacts associated with analysis or virtualization. Adversaries may also check for legitimate user activity to help determine if it is in an analysis environment. Additional methods include use of sleep timers or loops within malware code to avoid operating within a temporary sandbox.(Citation: Unit 42 Pirpi July 2015)
Query: patch priority for CVE-2015-4894
Matching passage: CVE-2015-4894. CWE: UNKNOWN. CVSS: 4.900000095367432. Unspecified vulnerability in the Mobile Server component in Oracle Database Mobile/Lite Server 10.3.0.3, 11.3.0.2, and 12.1.0.0 allows remote authenticated users to affect integrity and availability via unknown vectors.
Near-miss passage: CVE-2015-3910. CWE: UNKNOWN. CVSS: 7.5. Multiple unspecified vulnerabilities in Google V8 before 4.3.61.21, as used in Google Chrome before 43.0.2357.65, allow attackers to cause a denial of service or possibly have other impact via unknown vectors.
Query: exploit fpdfsdk/src/jsapi/fxjs_v8.cpp in PDFium, as used in Google Chrome before 47.0.2526.73, does not use signatures, which allows remote attackers to cause a denial of service or possib
Matching passage: CVE-2015-6775. CWE: UNKNOWN. CVSS: 7.5. fpdfsdk/src/jsapi/fxjs_v8.cpp in PDFium, as used in Google Chrome before 47.0.2526.73, does not use signatures, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors that leverage "type confusion."
Near-miss passage: CVE-2015-2473. CWE: UNKNOWN. CVSS: 9.300000190734863. Untrusted search path vulnerability in the client in Remote Desktop Protocol (RDP) through 8.1 in Microsoft Windows 7 SP1 and Windows Server 2008 R2 SP1 allows local users to gain privileges via a Trojan horse DLL in the current working directory, as demonstrated by a directory that contains a .rdp file, aka "Remote Desktop Protocol DLL Planting Remote Code Execution Vulnerability."
Query: adversary uses Exfiltration Over Symmetric Encrypted Non-C2 Protocol
Matching passage: T1048.001 Exfiltration Over Symmetric Encrypted Non-C2 Protocol. Tactics: exfiltration. Description: Adversaries may steal data by exfiltrating it over a symmetrically encrypted network protocol other than that of the existing command and control channel. The data may also be sent to an alternate network location from the main command and control server. Symmetric encryption algorithms are those that use shared or the same keys/secrets on each end of the channel. This requires an exchange or pre-arranged agreement/possession of the value used to encrypt and decrypt data. Network protocols that use asymmetric encryption often utilize symmetric encryption once keys are exchanged, but adversaries may opt to manually share keys and implement symmetric cryptographic algorithms (ex: RC4, AES) vice using mechanisms that are baked into a protocol. This may result in multiple layers of encryption (in protocols that are natively encrypted such as HTTPS) or encryption in protocols that not typically encrypted (such as HTTP or FTP).
Near-miss passage: T1048.002 Exfiltration Over Asymmetric Encrypted Non-C2 Protocol. Tactics: exfiltration. Description: Adversaries may steal data by exfiltrating it over an asymmetrically encrypted network protocol other than that of the existing command and control channel. The data may also be sent to an alternate network location from the main command and control server. Asymmetric encryption algorithms are those that use different keys on each end of the channel. Also known as public-key cryptography, this requires pairs of cryptographic keys that can encrypt/decrypt data from the corresponding key. Each end of the communication channels requires a private key (only in the procession of that entity) and the public key of the other entity. The public keys of each entity are exchanged before encrypted communications begin. Network protocols that use asymmetric encryption (such as HTTPS/TLS/SSL) often utilize symmetric encryption once keys are exchanged. Adversaries may opt to use these encrypted mechanisms that are baked into a protocol.
Query: Encoded PowerShell / command-line abuse matching Compute Hijacking
Matching passage: T1496.001 Compute Hijacking. Tactics: impact. Description: Adversaries may leverage the compute resources of co-opted systems to complete resource-intensive tasks, which may impact system and/or hosted service availability. One common purpose for [Compute Hijacking](https://attack.mitre.org/techniques/T1496/001) is to validate transactions of cryptocurrency networks and earn virtual currency. Adversaries may consume enough system resources to negatively impact and/or cause affected machines to become unresponsive.(Citation: Kaspersky Lazarus Under The Hood Blog 2017) Servers and cloud-based systems are common targets because of the high potential for available resources, but user endpoint systems may also be compromised and used for [Compute Hijacking](https://attack.mitre.org/techniques/T1496/001) and cryptocurrency mining.(Citation: CloudSploit - Unused AWS Regions) Containerized environments may also be targeted due to the ease of deployment via exposed APIs and the potential for scaling mining activities by deploying or compromising multiple containers within an environment or cluster.(Citation: Unit 42 Hildegard Malware)(Citation: Trend Micro Exposed Docker APIs) Additionally, some cryptocurrency mining malware identify then kill off processes for competing malware to ensure it’s not competing for resources.(Citation: Trend Micro War of Crypto Miners)
Near-miss passage: T1496.002 Bandwidth Hijacking. Tactics: impact. Description: Adversaries may leverage the network bandwidth resources of co-opted systems to complete resource-intensive tasks, which may impact system and/or hosted service availability. Adversaries may also use malware that leverages a system's network bandwidth as part of a botnet in order to facilitate [Network Denial of Service](https://attack.mitre.org/techniques/T1498) campaigns and/or to seed malicious torrents.(Citation: GoBotKR) Alternatively, they may engage in proxyjacking by selling use of the victims' network bandwidth and IP address to proxyware services.(Citation: Sysdig Proxyjacking) Finally, they may engage in internet-wide scanning in order to identify additional targets for compromise.(Citation: Unit 42 Leaked Environment Variables 2024) In addition to incurring potential financial costs or availability disruptions, this technique may cause reputational damage if a victim’s bandwidth is used for illegal activities.(Citation: Sysdig Proxyjacking)
Query: Suspicious VBA Stomping execution detected on endpoint
Matching passage: T1564.007 VBA Stomping. Tactics: stealth. Description: Adversaries may hide malicious Visual Basic for Applications (VBA) payloads embedded within MS Office documents by replacing the VBA source code with benign data.(Citation: FireEye VBA stomp Feb 2020) MS Office documents with embedded VBA content store source code inside of module streams. Each module stream has a <code>PerformanceCache</code> that stores a separate compiled version of the VBA source code known as p-code. The p-code is executed when the MS Office version specified in the <code>_VBA_PROJECT</code> stream (which contains the version-dependent description of the VBA project) matches the version of the host MS Office application.(Citation: Evil Clippy May 2019)(Citation: Microsoft _VBA_PROJECT Stream) An adversary may hide malicious VBA code by overwriting the VBA source code location with zero’s, benign code, or random bytes while leaving the previously compiled malicious p-code. Tools that scan for malicious VBA source code may be bypassed as the unwanted code is hidden in the compiled p-code. If the VBA source code is removed, some tools might even think that there are no macros present. If there is a version match between the <code>_VBA_PROJECT</code> stream and host MS Office application, the p-code will be executed, otherwise the benign VBA source code will be decompressed and recompiled to p-code, thus removing malicious p-code and potentially bypassing dynamic analysis.(Citation: Walmart Roberts Oct 2018)(Citation: FireEye VBA stomp Feb 2020)(Citation: pcodedmp Bontchev)
Near-miss passage: T1564 Hide Artifacts. Tactics: stealth. Description: Adversaries may attempt to hide artifacts associated with their behaviors to evade detection. Operating systems may have features to hide various artifacts, such as important system files and administrative task execution, to avoid disrupting user work environments and prevent users from changing files or features on the system. Adversaries may abuse these features to hide artifacts such as files, directories, user accounts, or other system activity to evade detection.(Citation: Sofacy Komplex Trojan)(Citation: Cybereason OSX Pirrit)(Citation: MalwareBytes ADS July 2015) Adversaries may also attempt to hide artifacts associated with malicious behavior by creating computing regions that are isolated from common security instrumentation, such as through the use of virtualization technology.(Citation: Sophos Ragnar May 2020)
Query: EDR alert: possible Browser Information Discovery (T1217)
Matching passage: T1217 Browser Information Discovery. Tactics: discovery. Description: Adversaries may enumerate information about browsers to learn more about compromised environments. Data saved by browsers (such as bookmarks, accounts, and browsing history) may reveal a variety of personal information about users (e.g., banking sites, relationships/interests, social media, etc.) as well as details about internal network resources such as servers, tools/dashboards, or other related infrastructure.(Citation: Kaspersky Autofill) Browser information may also highlight additional targets after an adversary has access to valid credentials, especially [Credentials In Files](https://attack.mitre.org/techniques/T1552/001) associated with logins cached by a browser. Specific storage locations vary based on platform and/or application, but browser information is typically stored in local files and databases (e.g., `%APPDATA%/Google/Chrome`).(Citation: Chrome Roaming Profiles)
Near-miss passage: T1087.003 Email Account. Tactics: discovery. Description: Adversaries may attempt to get a listing of email addresses and accounts. Adversaries may try to dump Exchange address lists such as global address lists (GALs).(Citation: Microsoft Exchange Address Lists) In on-premises Exchange and Exchange Online, the <code>Get-GlobalAddressList</code> PowerShell cmdlet can be used to obtain email addresses and accounts from a domain using an authenticated session.(Citation: Microsoft getglobaladdresslist)(Citation: Black Hills Attacking Exchange MailSniper, 2016) In Google Workspace, the GAL is shared with Microsoft Outlook users through the Google Workspace Sync for Microsoft Outlook (GWSMO) service. Additionally, the Google Workspace Directory allows for users to get a listing of other users within the organization.(Citation: Google Workspace Global Access List)