Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This query can be used to detect instances of malicious users who attempt to create steganographic images and then immediately browse to a webmail URL. This query would require additional investigation to determine whether the co-occurrance of generating a steganographic image and browsing to a webmail URL is an indication of a malicious event.
'Threat actors can use JPEG files to hide malware, or other malicious code from inspection. This query looks for the downloading of abnormally large JPEG files from a source where large JPEG files have not been downloaded.
Ref: https://www.microsoft.com/security/blog/2022/07/27/untangling-knotweed-european-private-sector-offensive-actor-using-0-day-exploits/'
Ref: https://www.microsoft.com/security/blog/2022/07/27/untangling-knotweed-european-private-sector-offensive-actor-using-0-day-exploits/'
Intent:
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
This rule detects the execution of the 'unzip' command where the target file has a common image file extension ('.jpg' or '.png'). This behavior is indicative of an attempt to extract hidden information, specifically a zip archive, from an image file, a technique often used in steganography for defense evasion or data exfiltration.
This rule detects the execution of the 'cat' command used to append a zip file to an image file. This technique is commonly used in steganography to hide data within seemingly innocuous files. The rule specifically looks for 'cat' being executed with two arguments: one ending in a common image file extension ('.jpg' or '.png') and another ending in '.zip'. This pattern suggests an attempt to concatenate the contents of a zip file onto an image file.
Detects the use of the 'steghide' utility to extract hidden files from image files (JPG or PNG). Adversaries may use steganography to conceal data and evade detection.
Detects the use of the 'steghide' binary with the 'embed' command and specific flags ('-cf' or '-ef') to hide files using steganography. This technique can be used by adversaries to embed malicious payloads or sensitive data within legitimate-looking files, such as images, to evade detection.
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