Full Report
Wild variances in naming taxonomies aren’t going away, but a new initiative from the security vendors aims to more publicly address obvious overlap in threat group attribution. The post CrowdStrike, Microsoft aim to eliminate confusion in threat group attribution appeared first on CyberScoop.
Analysis Summary
# Threat Actor: Named Threat Group (Example: Midnight Blizzard/APT29)
*Note: This summary focuses on the announcement regarding threat actor naming convergence, using the explicitly mentioned example group for structure validation.*
## Attribution & Identity
This article primarily concerns the **collaboration between CrowdStrike and Microsoft** to formally reconcile and publish overlapping names assigned to the same threat actor groups tracked by different vendors.
* **Known Aliases/Associated Groups (Example):** Midnight Blizzard, Cozy Bear, APT29, and UNC2452 are explicitly cited as names for the same group that CrowdStrike and Microsoft now formally recognize as linked.
## Activity Summary
The article does not detail specific historical campaigns or recent activity of any single threat actor. Instead, it describes a **joint initiative** by major cybersecurity vendors (CrowdStrike, Microsoft, Mandiant, and Unit 42) aimed at clarifying naming conventions across the industry to improve defender response times. This initiative involves the publication of a reference guide listing known threat groups and their various vendor-provided aliases they have aligned on.
## Tactics, Techniques & Procedures
This article does not list specific TTPs (as it focuses on intelligence coordination rather than a specific intrusion analysis).
* **Specific TTPs mentioned:** None.
* **MITRE ATT&CK IDs mentioned:** None.
## Targeting
Targeting information is not detailed, as the focus is on intelligence infrastructure rather than actor targets.
* **Sectors:** Not specified.
* **Geography:** Not specified.
* **Victims:** Not specified.
## Tools & Infrastructure
No specific malware, C2s, domains, or IPs related to an actor's operations are mentioned.
* **Malware families used:** None mentioned.
* **Infrastructure:** None mentioned.
## Implications
**Positive:** The collaboration aims to significantly reduce confusion for defenders caused by inconsistent vendor naming, leading to faster attribution, improved correlation across different security platforms/reports, and quicker response actions against threats.
**Caveat:** This effort is acknowledged as "not revolutionary" and "not a solution" but rather a necessary first step that highlights the ongoing need for cross-vendor cooperation. It does not mandate a universal naming standard or eliminate other vendors' independent classification schemas.
## Mitigations
The primary "mitigation" discussed relates to improving the intelligence consumption process:
* Defenders should leverage resources published by CrowdStrike and Microsoft (and potentially future collaborators) that map overlapping threat actor names to ensure they are basing response efforts on aligned intelligence regarding the same adversary.
* Security operations must reduce the time spent analyzing disparate naming conventions to accelerate active defense.