Back to skill

Security audit

seedance 2.0 guide

Security checks for vulnerabilities and agentic risk

Overview

This is mostly a video prompt guide, but it includes guidance that can help users evade face or content checks for identity-linked media generation.

Review this skill before installing if you use real people's images or likenesses. The Markdown-only package does not appear to compromise the local environment, but its prompt guidance should be revised to remove detector-aware face-obscuring and term-substitution advice and to require consent and compliance with the video platform's content policies.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Findings (1)

other

Warning
Location
SKILL.md:132
Finding

Guidance Facilitates Content-Moderation Evasion

Content
View full analysis
Remediation
View remediation
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (4)

Ssd 4

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

Taken together, the stylization guidance, facial obscuring techniques, and descriptor substitution create a multi-step workflow for gradually transforming a likely sensitive face-generation request into one less likely to be blocked. This normalization of layered evasion materially increases the chance that users can circumvent safeguards for realistic or identity-linked visual generation.

Content

No source excerpt is available for this finding.

Ssd 2

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill recommends composition choices like side profile, long shot, silhouette, backlighting, and obscured facial details specifically because they reduce facial visibility and notes that centered high-realism faces are 'the first place the system checks.' This moves beyond neutral cinematography advice into detection-avoidance tactics for generating otherwise restricted realistic face content.

Content

No source excerpt is available for this finding.

Ssd 2

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

This section explicitly advises replacing realistic-face and skin-related terms with alternative wording such as 'CGI Digital Human' or 'Android shell' to avoid triggering safety checks while preserving the same intended visual outcome. That is semantic evasion guidance: it teaches users how to rephrase disallowed or sensitive requests so the underlying system is less likely to detect them.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

This file presents the skill documentation entirely in Chinese, which can constitute a language/locale policy violation when the skill does not explicitly offer language choice or explain that the locale restriction is required. Although there is a link to an English README, this file itself does not state that language selection is optional or user-driven.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.