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VulnerabilityPublished Updated

CVE-2025-59405: Flock Safety Peripheral Android application used · CVE-2025-59405 is a high-severity

Source CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 40% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Oct 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

Organizations should immediately audit their deployments of the Flock Safety Peripheral Android application and related devices to identify affected versions. The primary mitigation is to remove any hardcoded API keys or secrets from client-side applications. Instead, secrets should be stored securely on backend servers or retrieved dynamically through secure authentication mechanisms. Implementing environment-based configuration and secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager) is recommended. Additionally, rotate the exposed DataDog API keys immediately to invalidate compromised credentials. Monitor DataDog account activity for any unauthorized access or anomalies. Employ application hardening techniques such as code obfuscation and integrity checks to reduce the risk of reverse engineering. Finally, engage with the vendor for official patches or updates that address this vulnerability and apply them promptly once available. Network segmentation and strict access controls around monitoring infrastructure can further limit the impact of potential exploitation.

Description

CVE-2025-59405 is a high-severity vulnerability in the Flock Safety Peripheral Android application used on license plate readers and AI compute devices. The app contains a cleartext DataDog API key embedded in its codebase, which can be trivially extracted by decompiling the application binaries without any privileges or user interaction. This exposure allows attackers to access the DataDog monitoring service with the compromised OAuth secret, potentially leading to unauthorized data access or manipulation. Although no known exploits are currently reported in the wild, the vulnerability poses a significant confidentiality risk. European organizations using these devices could face data leakage or monitoring disruption. Mitigation requires removing the embedded secret from client-side code and implementing secure secret management practices. Countries with higher adoption of smart city and law enforcement technologies, such as Germany, France, and the UK, are more likely to be affected. The vulnerability has a CVSS score of 7.5, reflecting its high impact on confidentiality with no required privileges or user interaction.

References

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