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CVE-2025-10035 (GCVE-0-2025-10035)

Vulnerability from cvelistv5 – Published: 2025-09-18 22:01 – Updated: 2026-08-04 03:55
VLAI CISA Previdian
Title
Deserialization Vulnerability in GoAnywhere MFT's License Servlet
Summary
A deserialization vulnerability in the License Servlet of Fortra's GoAnywhere MFT allows an actor with a validly forged license response signature to deserialize an arbitrary actor-controlled object, possibly leading to command injection.
Severity
10 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-19 00:00 UTC
CWE
  • CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
  • CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
Vendor Product Version CPE status
Fortra GoAnywhere MFT Affected: 0 , ≤ 7.8.3 (semver)
guessed Create a notification for this product.
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: e6c095ff-cb28-4ca5-bc73-47d29d053347

Vulnerability ID: CVE-2025-10035

Status: Confirmed

Status Updated: 2025-09-29 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-09-29
Asserted: 2025-09-29
Scope
Notes: KEV entry: Fortra GoAnywhere MFT Deserialization of Untrusted Data Vulnerability | Affected: Fortra / GoAnywhere MFT | Description: Fortra GoAnywhere MFT contains a deserialization of untrusted data vulnerability allows an actor with a validly forged license response signature to deserialize an arbitrary actor-controlled object, possibly leading to command injection. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2025-10-20 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://www.fortra.com/security/advisories/product-security/fi-2025-012 ; https://nvd.nist.gov/vuln/detail/CVE-2025-10035
Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev

Details
Cwes CWE-502 CWE-77
Feed CISA Known Exploited Vulnerabilities Catalog
Product GoAnywhere MFT
Due Date 2025-10-20
Date Added 2025-09-29
Vendorproject Fortra
Vulnerabilityname Fortra GoAnywhere MFT Deserialization of Untrusted Data Vulnerability
Knownransomwarecampaignuse Known
References
Created: 2026-02-02 12:25 UTC | Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0fbb94e9-55b2-4fa6-a103-aa82ed39bd86

Vulnerability ID: CVE-2025-10035

Status: Confirmed

Status Updated: 2026-06-01 10:41 UTC

Exploited: Yes

Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: KEVIntel entry: Deserialization Vulnerability in GoAnywhere MFT's License Servlet | Affected: Fortra / GoAnywhere MFT | CVSS: 10.0 (CRITICAL) | EPSS: 0.99614 | Used in malware: yes | Not yet in CISA KEV: False
Evidence

Type: Public Report

Signal: Confirmed Compromise

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Deserialization Vulnerability in GoAnywhere MFT's License Servlet
Vendor Fortra
Product GoAnywhere MFT
Added Date 2026-06-01T10:41:16.918Z
Cvss Score 10.0
Epss Score 0.99614
Cvss Severity CRITICAL
Epss Percentile 0.99944
Used In Malware yes
Ahead Of Cisa Kev 
{
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  "unit": "day"
}
Not Yet In Cisa Kev False
References
Created: 2026-06-23 14:03 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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          "x_generator": {
            "engine": "Vulnogram 0.2.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "df4dee71-de3a-4139-9588-11b62fe6c0ff",
        "assignerShortName": "Fortra",
        "cveId": "CVE-2025-10035",
        "datePublished": "2025-09-18T22:01:51.337Z",
        "dateReserved": "2025-09-05T16:43:32.877Z",
        "dateUpdated": "2026-08-04T03:55:56.207Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.