General Enterprise (General Enterprise)
ELEVATED
Public Companies (Financial Reporting) (SOX)
ELEVATED
EU Organizations (GDPR)
QUIET
Healthcare (HIPAA)
QUIET
California-based Organizations (CCPA)
QUIET
Heroes, 84 years ago this morning, Naval Station Pearl Harbor was attacked. Let's take a moment for them.
Here's a look at the current cybersecurity landscape for December 7, 2025.
Date & Time: 2025-12-07T13:42:34
Hundreds of Porsche vehicles in Russia have been rendered undrivable following a malfunction in their factory-installed satellite security systems. This incident underscores the fragility of connected vehicle ecosystems where a single component failure can cause widespread operational paralysis.
CVE: n/a | Compliance: SOX | Source: securityaffairs.com ā
Date & Time: 2025-12-07T01:03:21
A Denial-of-Service vulnerability has been discovered in `github.com/sirupsen/logrus`, a widely used Go logging library, where logging a single-line payload larger than 64KB causes the writer pipe to close. This affects versions < 1.8.3, 1.9.0, and 1.9.2, potentially crashing applications that process untrusted input logs.
CVE: CVE-2025-65637 | Compliance: General Enterprise | Source: NIST
Date & Time: 2025-12-07T01:51:54
Multiple vulnerabilities have been identified in the Linux kernel, including race conditions in `sys_prlimit64`, allocation failures in media drivers, and out-of-bounds access in mailbox cleanup loops. These issues primarily affect system stability and local privilege boundaries.
CVE: CVE-2025-40201, CVE-2025-40207, CVE-2025-40164, CVE-2025-40180, CVE-2025-40187 | Compliance: General Enterprise | Source: NIST
Spotlight Rationale: With the emergence of CVE-2025-65637 (Logrus DoS) and multiple Linux Kernel vulnerabilities (CVE-2022-4543, CVE-2025-40201) in today's rundown, organizations need rapid visibility into open-source dependencies and containerized workloads.
Threat Context: CVE-2025-65637
Platform Focus: Snyk Open Source & Container
Snyk specializes in developer-first security, integrating directly into the CI/CD pipeline to detect vulnerable dependencies like `logrus` before they reach production. Unlike traditional scanners, Snyk provides actionable fix pull requests and can identify if the vulnerable function (e.g., `Entry.Writer()`) is actually reachable in your code, prioritizing the specific threats highlighted today.
Actionable Platform Guidance: Use the Snyk CLI to test your Go projects specifically for the Logrus vulnerability and verify your container base images against the new Linux Kernel CVEs.
Source: Snyk.io ā.
ā ļø Disclaimer: Test all detection logic in non-production environments before deployment.
1. Vendor Platform Configuration - Snyk
# 1. Authenticate Snyk CLI
snyk auth
# 2. Test Go projects specifically for the Logrus vulnerability (CVE-2025-65637)
# Run this in your project root
snyk test --file=go.mod
# 3. Monitor for new instances of this vulnerability in the future
snyk monitor --project-name="Project-Logrus-Check"
# 4. Test container images for the Linux Kernel vulnerabilities (EntryBleed/CVE-2022-4543)
snyk container test --app-vulns
2. YARA Rule for CVE-2025-65637 (Logrus DoS Indicators)
rule Logrus_DoS_CVE_2025_65637_Indicator {
meta:
description = "Detects potential indicators of Logrus DoS exploitation attempts or vulnerable configurations"
author = "Threat Rundown"
date = "2025-12-07"
reference = "https://nvd.nist.gov/vuln/detail/CVE-2025-65637"
severity = "medium"
tlp = "white"
strings:
$s1 = "github.com/sirupsen/logrus" ascii
$s2 = "Entry.Writer" ascii
$s3 = "token too long" ascii
$s4 = "bufio.Scanner" ascii
condition:
$s1 and ($s2 or $s3) and $s4
}
3. SIEM Query ā Logrus DoS Error Detection
index=application_logs sourcetype="go_app"
"token too long" OR "bufio.Scanner: token too long"
| eval risk_score=case(
match(_raw, "logrus"), 100,
match(_raw, "panic"), 80,
1==1, 50)
| where risk_score >= 50
| table _time, host, app_name, error_msg, risk_score
| sort -_time
4. PowerShell Script ā Check Linux Kernel Version (SSH)
# Requires Posh-SSH module
$computers = "192.168.1.10", "192.168.1.11" # List your Linux servers
$credential = Get-Credential
foreach ($computer in $computers) {
try {
$session = New-SSHSession -ComputerName $computer -Credential $credential -AcceptKey
# Check for kernel version to identify potential EntryBleed (CVE-2022-4543) exposure
$command = Invoke-SSHCommand -SSHSession $session -Command "uname -r"
Write-Host "Server: $computer | Kernel: $($command.Output)"
Remove-SSHSession -SSHSession $session
} catch {
Write-Host "Failed to connect to $computer" -ForegroundColor Red
}
}
This rundown should provide a solid overview of the current threat landscape. Thank you to all our cyberheroes for your diligence and hard work. Stay vigilant!
About STIX 2.1: Structured Threat Information eXpression (STIX) is the machine language of cybersecurity. This bundle contains validated threat objects, indicators, and relationships that can be directly imported into your SIEM, TIP, or security orchestration platform.
Usage: Download or copy the JSON below and import it directly into your threat intelligence platform, SIEM, or security orchestration tools for automated threat detection and response.