Episodic Future Thinking (EFT) refers to the ability to project the self into the future and mentally "pre-experience" a personal event, thereby facilitating adaptive functioning through decision-making, emotion regulation, planning, and problem-solving. The study aims to investigate how the perceived temporal proximity of threat word cues (near versus distant) influences the specificity and phenomenological characteristics of EFT. The current study used a two-phase design. Day 1 involved a sample of 15 participants who rated threat-based and neutral words taken from the ANEW database, on valence and arousal, along with the perceived proximity of threat, i.e., Near or Distant threat, on a 5-point Likert scale. Then, 15 words (5- Near, distant threats, and neutral) were selected based on Day 1 ratings and used as cues for the EFT task. In the EFT task, after giving instructions, an example, and a trial session, participants were instructed to verbally respond to a personally relevant future event based on the cue, followed by subjective ratings- Clarity, Detail, Valence, Vividness, Emotion intensity, and Importance of the imagined event, on a 7-point Likert scale. Results showed no significant difference in the episodic specificity scoring between near-threat, distant-threat, and neutral cues (F(2,8) = 0.448, p = .654, η ² = .101). However, Emotional Valence differed between the conditions (F(2,8) = 6.512, p = .021). High intercorrelation was seen among the ratings, showing an integrative role in shaping EFT. Qualitatively, participants' responses included avoidance in constructing a detailed imagined future event with a threatening cue word, irrespective of its temporal proximity. Most of the responses were based on vague hypothetical scenarios that were not related to a person's future, rather than a specific future event. Understanding how the temporal distance of threat influences EFT, clinicians can develop personalised interventions targeting future-oriented behaviour planning in threatening situations. This gives an implication for future researchers to include physiological measures for a better understanding of the underlying neural mechanism.