CyberSecBulletin
CVE-2025-9571NVD status: Deferred

Cloud Data Fusion: Deserialization of Untrusted Data

CVE-2025-9571 is a high-severity deserialization of untrusted data vulnerability in Cloud Data Fusion from Google Cloud, with a CVSS 4.0 base score of 8.7 out of 10. It can be exploited remotely over the network by an attacker with a low-privileged account, without any action from a user. The record lists versions 6.10.6, 6.11.1 as the first without the flaw, so updating Cloud Data Fusion to one of those releases or later removes the exposure. There is no confirmed exploitation so far. EPSS estimates a 0.47% chance of exploitation within 30 days, which is low compared with other CVEs.

Next patch cycle

High severity with no evidence of exploitation so far.

What to do

  1. Update Cloud Data Fusion to 6.10.6 or 6.11.1, whichever matches your release line, or a later version.

Affected products and versions

VendorProductAffected versionsFixed in
Google CloudCloud Data Fusionbefore 6.10.6; before 6.11.16.10.6, 6.11.1

Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
LowNo special conditions are needed; the attack works reliably.
Attack requirements
NoneThe attack does not depend on a particular deployment or configuration.
Privileges required
LowA basic user account is enough.
User interaction
NoneNo action by a victim is required.
Confidentiality (vulnerable system)
HighSerious loss of confidentiality on the vulnerable system.
Integrity (vulnerable system)
HighSerious loss of integrity on the vulnerable system.
Availability (vulnerable system)
HighSerious loss of availability on the vulnerable system.
Confidentiality (other systems)
NoneNo loss of confidentiality on systems beyond the vulnerable one.
Integrity (other systems)
NoneNo loss of integrity on systems beyond the vulnerable one.
Availability (other systems)
NoneNo loss of availability on systems beyond the vulnerable one.

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Red. Scored by CNA.

Official description

A remote code execution (RCE) vulnerability exists in Google Cloud Data Fusion. A user with permissions to upload artifacts to a Data Fusion instance can execute arbitrary code within the core AppFabric component. This could allow the attacker to gain control over the Data Fusion instance, potentially leading to unauthorized access to sensitive data, modification of data pipelines, and exploration of the underlying infrastructure. The following CDAP versions include the necessary update to protect against this vulnerability: * 6.10.6+ * 6.11.1+ Users must immediately upgrade to them, or greater ones, available at: https://github.com/cdapio/cdap-build/releases .

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

How developers prevent this class of flaw

  • If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
  • When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
  • Explicitly define a final object() to prevent deserialization.

More Deserialization of Untrusted Data vulnerabilities (CWE-502)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: none, automatable: no, technical impact: total).
  3. Record last changed materially (score, affected products, status or references).

References

Recent Deserialization of Untrusted Data vulnerabilities

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